Kinetics 700 papers with code. See a full comparison of 7 papers with code.
Kinetics 700. It uses eddy diffusion to mimic atmospheric dynamics and excludes photochemistry. The dataset contains 400 human action classes, with at least 400 video clips for each action. We describe the 2020 edition of the DeepMind Kinetics human action dataset, which replenishes and extends the Kinetics-700 dataset. The Kinetics dataset is a large-scale, high-quality dataset for human action recognition in videos. The dataset is collected by annotating videos from the Kinetics-700 dataset using the AVA annotation protocol, and extending the original AVA dataset with these new AVA annotated Kinetics clips. compared to the winner of the 2021 Kinetics Apr 13, 2020 · We published a paper on arXiv. 9 top-1 accuracy on Kinetics-400 and 86. 1%), with a simple spatio-temporal video transformer. Machine perception models, in stark contrast, are typically modality-specific and optimised for unimodal benchmarks, and hence late-stage fusion of final representations or predictions from each modality (`late-fusion') is still a dominant paradigm for May 4, 2022 · ImageNet MS COCO Kinetics Flickr30k Kinetics 400 MSR-VTT ImageNet-R Visual Question Answering v2. pdf) The current state-of-the-art on MiniKinetics is MARS+RGB+Flow (16 frames). The current state-of-the-art on AVA-Kinetics is VideoMAE V2-g. md file. See a full comparison of 41 papers with code. A curated and 3-D pose-annotated subset of RGB videos sourced from Kinetics-700, a large-scale action dataset. Questions and contributions To contribute to this repository, you will first need to sign the Google Contributor License Agreement (CLA), provided in the CONTRIBUTING. The videos are collected from YouTube. mtrl-sci]) is extended to N-isopropylacrylamide (NIPA). It is constructed for gaseous chemistry from 500 to 2500 K using a reduced C-H-O chemical network with about 300 reactions. Edit Papers With Code is a free resource with all data licensed under CC-BY-SA. After downloading the dataset, extract the zip file. Kinetics-700 MViTv2-L (ImageNet-21k pretrain) Kinetics-600 600 762 519 Kinetics-700 700 906 532 Kinetics-700-2020 700 926 705 Table 1: Statistics on the number of video clips per class for different Kinetics datasets as of 14-10-2020. Jun 13, 2023 · This is a subset of Kinetics-400, introduced in Look, Listen and Learn by Relja Arandjelovic and Andrew Zisserman. Stay informed on the latest trending ML papers with code, research developments, libraries, methods, and datasets. 2%), Kinetics-600 (87. . In order to scale up the dataset we changed the data collection process so it uses multiple queries per class, with some of them in a language other than english -- portuguese. Browse State-of-the-Art Datasets ; Methods; More . The current state-of-the-art on Kinetics-700 is 3D ResNet-50 (RS training). This paper details the changes between the Paper tables with annotated results for iqiyi Submission to ActivityNet Challenge 2019 Kinetics-700 challenge: Hierarchical Group-wise Attention ````{group-tab} Download by MIM :::{note} All experiments on Kinetics in MMAction2 are based on this version, we recommend users to try this version. You’ve just received your DK Bat Sensor - congrats! You are three easy steps away from turning practice into play. An extension of the DeepMind Kinetics human action dataset from 600 classes to 700 classes, where for each class there are at least 600 video clips from different YouTube videos, and includes a comprehensive set of statistics. 1 top-1 accuracy on Kinetics-600 with ~20x less pre-training data and ~3x smaller model size) and temporal modeling (69. Jun 16, 2020 · AVA Kinetics-700 Results from the Paper Edit Papers With Code is a free resource with all data licensed under CC-BY-SA. More than 10 million, high-quality bounding boxes are manually labeled through a three-step, carefully designed annotation pipeline. Winning the CVPR'2021 Kinetics-GEBD Challenge: Contrastive Learning Approach Papers With Code is a free resource with all data licensed under CC-BY-SA. The current state-of-the-art on Kinetics-700 is InternVideo2-6B. We describe an extension of the DeepMind Kinetics human action dataset from 600 classes to 700 classes, where for each class there are at least 600 video clips from Jul 19, 2024 · Latest posts. To avoid overfitting, we fine-tune SlowFast with Kinetics-700 pre-training as the feature extractor. Browse State-of-the-Art Datasets ; Methods Kinetics-700 is a video dataset of 650,000 clips that covers 700 human The 20BN-SOMETHING-SOMETHING V2 dataset is a large collection of labeled video clips that show humans performing pre-defined basic actions with everyday objects. MMAction2 supports Kinetics-710 dataset as a concat dataset, which means only provides a list of annotation files, and makes use of the original data of Kinetics-400/600/700 dataset. Newsletter RC2022. With default flags, this builds the I3D two-stream model, loads pre-trained I3D checkpoints into the TensorFlow session, and then passes an example video through the model. 1% on Kinetics-400, 83. The videos include human-object interactions such as playing instruments, as well as human-human interactions such as shaking hands and hugging. Stay informed on the latest trending ML papers with code, research The current state-of-the-art on Kinetics-700 is TURTLE (CLIP + DINOv2). In order to provide localized action labels on a wider variety of visual scenes, authors provide AVA action labels on videos from Kinetics-700, nearly doubling the number of total annotations, and increasing the number of unique videos by over 500x. The Label indicates what activity is performed by the humans. The scripts can be used for preparing kinetics-710. Each video in the dataset is a 10-second clip of action moment annotated from raw YouTube video. This paper details the changes between the Aug 3, 2018 · We describe an extension of the DeepMind Kinetics human action dataset from 400 classes, each with at least 400 video clips, to 600 classes, each with at least 600 video clips. Papers With Code is a free resource with all data licensed under CC-BY-SA. Kinetics400 is an action recognition dataset of realistic action videos, collected from YouTube. chem-ph] and arXiv:2311. 0 ImageNet-A ImageNet-Sketch COCO Captions NoCaps ObjectNet Kinetics-600 SNLI-VE Kinetics-700 NLVR JFT-3B Saved searches Use saved searches to filter your results more quickly The Kinetics-600 is a large-scale action recognition dataset which consists of around 480K videos from 600 action categories. Stay informed on the latest trending ML papers with code, research Our approach achieves state-of-the-art accuracy on a broad range of video recognition benchmarks, including on action recognition (84. Jul 1, 2016 · We present an open-source and validated chemical kinetics code for studying hot exoplanetary atmospheres, which we name VULCAN. The dataset consists of around 500,000 video clips covering 600 human action classes with at least 600 video clips for each 108 datasets • 136714 papers with code. Kinetics-700 is a video dataset of 650,000 clips that covers 700 human action classes. The first experience of virtual free-radical copolymerization (FRCP) of vinyl monomers with stable radicals in the framework of the digital twins (DTs) concept (arXiv:2309. Papers With Code is a free resource with all data METEOR is a complex traffic dataset which captures traffic patterns in unstructured scenarios in India. May 19, 2017 · Introduced in the Paper: Kinetics Kinetics 400 Papers With Code is a free resource with all data licensed under CC-BY-SA. 9%), and Moments-in-Time (46. Each action class has at least 700 video clips. Charades Kinetics-700 Results from the Paper Edit Papers With Code is a free resource with all data licensed under CC-BY-SA. org/pdf/1705. MiT Papers With Code is a free resource with all data licensed under CC-BY-SA. 100 classes are randomly selected from a total of 400 categories, each composed of 100 examples. PDF Abstract The current state-of-the-art on Kinetics-600 is InternVideo2-6B. Action Classification. View paper • Download dataset. The 20BN-SOMETHING-SOMETHING dataset is a large collection of labeled video clips that show humans performing pre-defined basic actions with everyday objects. 6 top-1 accuracy on Something-Something v2). We AVA-Kinetics, our latest release, is a crossover between the AVA Actions and Kinetics datasets. ActivityNet is the largest benchmark for temporal activity detection to date in terms of both the number of activity categories and number of videos, making the task particularly challenging. Kinetics ActivityNet Kinetics 400 MSR-VTT MSVD Something-Something V2 ActivityNet Captions WebVid DiDeMo Kinetics-600 LSMDC CC12M ActivityNet-QA VATEX AVA MiT Kinetics-700 MSRVTT-QA MSVD-QA MSRVTT-MC Humans perceive the world by concurrently processing and fusing high-dimensional inputs from multiple modalities such as vision and audio. Apr 12, 2022 · As of the writing of this post, four versions of the Kinetics dataset have been released: 400, 600, 700, and 700–2020. com The Kinetics-600 is a large-scale action recognition dataset which consists of around 480K videos from 600 action categories. Kinetics has two orders of magnitude more data, with 400 human action classes and over 400 clips per class, and is collected from realistic, challenging YouTube videos. Kinetics-600. In this new version, there are at least 700 video clips from different YouTube videos for each of the 700 classes. See a full comparison of 65 papers with code. 9%), Kinetics-700 (79. See a full comparison of 201 papers with code. Kinetics 600. 🏆 SOTA for Semantic Object Interaction Classification on Kinetics-700 (Vid acc@1 metric) Stay informed on the latest trending ML papers with code, research Image source: [The Kinetics Human Action Video Dataset](https://arxiv. Each clip lasts around 10s and is taken from a different YouTube video. Papers With Code is a Papers With Code is a free resource with all data licensed under CC-BY-SA. ````{group-tab} Download by MIM :::{note} All experiments on Kinetics in MMAction2 are based on this version, we recommend users to try this version. Kinetics-700 See all 42 temporal action localization datasets Papers With Code is a free resource with all data licensed under CC-BY-SA. This paper presents a novel task together with a new benchmark for detecting generic, taxonomy-free event boundaries that segment a whole video into chunks. Jan 20, 2022 · FMA Kinetics-700 Contact us on: hello@paperswithcode. On Kinetics-700, we perform on par with current state-of-the-art models, and outperform these on HACS, Moments in Time, UCF-101 and HMDB-51. It is an extensions of the Kinetics-400 dataset. step_between_clips – number of frames between each clip Stay informed on the latest trending ML papers with code, research developments, libraries, methods, and datasets. See a full comparison of 36 papers with code. It contains 108,499 videos, with 86,017 in the Kinetics-700 is a video dataset of 650,000 clips that covers 700 human action classes. This paper re-evaluates state-of-the-art architectures in light of the new Kinetics Human Action Video dataset. 8%), SomethingSomething-v2 (70. Run the example code using $ python evaluate_sample. See a full comparison of 1 papers with code. PyTorch code for the following papers: This paper re-evaluates state-of-the-art architectures in light of the new Kinetics Human Action Video dataset. For basic dataset information, please refer to the paper. Kinetics-100 is a dataset split created from the Kinetics dataset to evaluate the performance of few-shot action recognition models. The dataset contains over 230k clips annotated with the 80 AVA action classes for each of the humans in key-frames. May 19, 2017 · We describe the DeepMind Kinetics human action video dataset. Terms Prepare the Kinetics400 dataset¶. With 306,245 short trimmed videos from 400 action categories, it is one of the largest and most widely used dataset in the research community for benchmarking state-of-the-art video action recognition models. Kinetics-700 TURTLE (CLIP + DINOv2) See all. Gemma Scope: helping the safety community shed light on the inner workings of language models 31 July 2024; AI achieves silver-medal standard solving International Mathematical Olympiad problems 25 July 2024 The ActivityNet dataset contains 200 different types of activities and a total of 849 hours of videos collected from YouTube. Kinetics 400. 29 datasets • 130499 papers with code. The dataset consists of around 500,000 video clips covering 600 human action classes with at least 600 video clips for each action class. Terms Experiments on Kinetics-700 and VGGSound show that introducing flow or audio modality brings large performance gains over the pre-trained VLM and existing methods. See a full comparison of 3 papers with code. 06950. When pretrained on larger-scale image datasets following previous state-of-the-art, CoVeR achieves best results on Kinetics-400 (87. 7387 datasets • 124148 papers with code. Edit Unknown Modalities Edit Papers With Code is a free resource with all data licensed under CC-BY-SA. HACS. The version Dec 12, 2023 · Kinetics-700 Contact us on: hello@paperswithcode. Especially, VATT's vision Transformer achieves the top-1 accuracy of 82. Jun 20, 2021 · Kinetics-700 HACS Papers With Code is a free resource with all data licensed under CC-BY-SA. Abstract We describe the 2020 edition of the DeepMind Kinetics human action dataset, which replenishes and extends the Kinetics-700 dataset. The actions are human focussed and cover a broad range of classes including human-object interactions such as playing instruments, as well as human-human interactions A curated and 3-D pose-annotated subset of RGB videos sourced from Kinetics-700, a large-scale action dataset. The 100 classes are further split into 64, 12, and 24 non-overlapping classes to use as the meta-training set, meta-validation set, and meta-testing set, respectively Papers by Chloe Hillier with links to code and results. 7% on Kinetics-700, and 41. 6% on Kinetics-600, 72. The 480K videos are divided into 390K, 30K, 60K for training, validation and test sets, respectively. AViD. It contains train, test and validation in CSV and JSON format. on. The Kinetics-600 is a large-scale action recognition dataset which consists of around 480K videos from 600 action categories. The current state-of-the-art on Kinetics-Skeleton dataset is Structured Keypoint Pooling (PPNv2 skeletons+objects). This paper details the changes introduced for this new release of the dataset, and includes a comprehensive set of statistics as well as baseline results using the I3D neural network architecture. Jul 24, 2024 · Kinetics Kinetics-700 Countix RepCount UCFRep Results from the Paper Edit Papers With Code is a free resource with all data licensed under CC-BY-SA. Implemented in 2 code libraries. We describe an extension of the DeepMind Kinetics human action dataset from 400 classes, each with at least 400 video clips, to 600 classes, each with at least 600 video clips. AirSim UCY AVA Kinetics-700 Charades-Ego MEVA The Kinetics dataset is a large-scale, high-quality dataset for human action recognition in videos. This paper details the changes introduced for this new release of the dataset and includes a comprehensive set of statistics as well as baseline results using the I3D network. split – split of the dataset to consider; supports "train" (default) "val" "test" frame_rate – If omitted, interpolate different frame rate for each clip. 1% on Moments in Time, new records while avoiding supervised pre-training. In order to provide localized action labels on a wider variety of visual scenes, we've provided AVA action labels on videos from Kinetics-700, nearly doubling the number of total annotations, and increasing the number of unique videos by over 500x. We would also like to thank the teams behind the Kinetics dataset and the original Inception paper on which this architecture and code is based. Jun 20, 2021 · ActivityNet Kinetics-700 Results from the Paper Edit Papers With Code is a free resource with all data licensed under CC-BY-SA. Jul 15, 2019 · We describe an extension of the DeepMind Kinetics human action dataset from 600 classes to 700 classes, where for each class there are at least 600 video clips from different YouTube videos. It contains 220,847 videos, with 168,913 in the The current state-of-the-art on Kinetics-700 is InternVideo2-6B. Specifically, MOV greatly improves the accuracy on base classes, while generalizes better on novel classes. Terms Kinetics Kinetics 400 Charades Something-Something V2 Kinetics-600 Kinetics-700 JFT-3B Results from the Paper Edit There are annotations for: Kinetics (AVA-Kinetics) - a crossover between AVA and Kinetics. The version number indicates the number of action classes. CLEVR Counts Papers With Code is a free resource with all data licensed under CC-BY-SA. Nov 16, 2021 · Kinetics-700 Results from the Paper Edit Papers With Code is a free resource with all data licensed under CC-BY-SA. It allows machine learning models to develop fine-grained understanding of basic actions that occur in the physical world. Feb 16, 2022 · CIFAR-10 ImageNet CIFAR-100 MNIST KITTI SVHN UCF101 Kinetics Oxford 102 Flower STL-10 ImageNet-1K DTD Stanford Cars Food-101 Caltech-101 CLEVR iNaturalist EuroSAT Places205 FGVC-Aircraft ImageNet-R ImageNet-A GTSRB ImageNet-Sketch Hateful Memes ObjectNet RESISC45 Kinetics-700 Oxford-IIIT Pet Dataset Oxford-IIIT Pets SUN397 ImageNet-W Casual Kinetics-700 is a video dataset of 650,000 clips that covers 700 human action classes. The current state-of-the-art on Kinetics-700 is TURTLE (CLIP + DINOv2). Kinetics-700 InternVideo2-6B See all. The videos include human-object The current state-of-the-art on Kinetics-700 is InternVideo2-6B. Kinetics-600 RESISC45 PCam Kinetics-700 There are annotations for: Kinetics (AVA-Kinetics) - a crossover between AVA and Kinetics. We show that the convolution-free VATT outperforms state-of-the-art ConvNet-based architectures in the downstream tasks. Images should be at least 640×320px (1280×640px for best display). Each clip is annotated with an action class and lasts approximately… A Short Note about Kinetics-600 . See full list on github. ::: MIM supports downloading from OpenDataLab and preprocessing Kinetics-400/600/700 dataset with one command line. Kinetics 400 EPIC-KITCHENS-100 Kinetics-700 Kinetics-700 InternVideo2-6B See all. It is the largest object detection dataset (with full annotation) so far and establishes a more challenging benchmark for the community. Each video clip lasts around 10 seconds and is labeled with a single action class. Aug 3, 2018 · We describe an extension of the DeepMind Kinetics human action dataset from 400 classes, each with at least 400 video clips, to 600 classes, each with at least 600 video clips. Jun 18, 2022 · ActivityNet Kinetics-700 Results from the Paper Edit Papers With Code is a free resource with all data licensed under CC-BY-SA. A Short Note on the Kinetics-700-2020 Human Action Dataset . 02752 [cond-mat. **Skeleton-based Action Recognition** is a computer vision task that involves recognizing human actions from a sequence of 3D skeletal joint data captured from sensors such as Microsoft Kinect, Intel RealSense, and wearable devices. Kinetics has two orders of magnitude more data, with 400 Objects365 is a large-scale object detection dataset, Objects365, which has 365 object categories over 600K training images. Nov 12, 2023 · No code available yet. Oct 21, 2020 · In this new version, there are at least 700 video clips from different YouTube videos for each of the 700 classes. py. CIFAR-10 ImageNet MS COCO CIFAR-100 UCF101 Kinetics ADE20K Kinetics 400 LVIS COCO-Stuff ImageNet-Sketch LAION-400M Objects365 Kinetics-600 CC12M Kinetics-700 COCO-O JFT-3B Results from the Paper Jul 5, 2022 · In this paper, we make good use of the multi-view synchronization among videos, and conduct robust Multi-View Practice (MVP) for driving action localization. com . 143 datasets • 116140 papers with code. The dataset was created by a large number of crowd workers. PDF Abstract Code Stay informed on the latest trending ML papers with code, research developments, libraries, methods, and datasets. The current state-of-the-art on Kinetics-400 is OmniVec2. Jun 17, 2022 · Stay informed on the latest trending ML papers with code, research developments, libraries, methods, and datasets. Kinetics-GEB+ (Generic Event Boundary Captioning, Grounding and Retrieval) is a dataset that consists of over 170k boundaries associated with captions describing status changes in the generic events in 12K videos. Papers With Code is a free resource with all num_classes – select between Kinetics-400 (default), Kinetics-600, and Kinetics-700. METEOR is a unique dataset in terms of capturing the heterogeneity of microscopic and Paper Code RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition open-mmlab/mmocr • • ECCV 2020 Jun 9, 2021 · Stay informed on the latest trending ML papers with code, research developments, libraries, methods, and datasets. ResNet-50 pretrained on the combined dataset with Kinetics-700 and Moments in Time. METEOR consists of more than 1000 one-minute video clips, over 2 million annotated frames with ego-vehicle trajectories, and more than 13 million bounding boxes for surrounding vehicles or traffic agents. See a full comparison of 7 papers with code. The **Kinetics** dataset is a large-scale, high-quality dataset for human action recognition in videos. Feb 26, 2021 · Upload an image to customize your repository’s social media preview. no code implementations • 15 Jul 2019 • May 1, 2020 · This paper describes the AVA-Kinetics localized human actions video dataset. The goal of skeleton-based action recognition is to develop algorithms that can understand and classify human actions from skeleton data, which can be used in The current state-of-the-art on Kinetics-700 is TURTLE (CLIP + DINOv2). The current state-of-the-art on Kinetics-400 is CAST-B/16. 11616 [physics. ImageNet Kinetics Kinetics 400 Something-Something V2 EPIC-KITCHENS-100 Kinetics-600 JFT-300M MiT Kinetics-700 Results from the Paper Edit Kinetics Kinetics 400 Charades Something-Something V2 Kinetics-600 Kinetics-700 JFT-3B Results from the Paper Edit Apr 15, 2024 · Upload an image to customize your repository’s social media preview. Kinetics-700. A Short Note on the Kinetics-700 Human Action Dataset. Jun 13, 2021 · Kinetics-700 Results from the Paper Edit Papers With Code is a free resource with all data licensed under CC-BY-SA. Usage License. May 22, 2017 · The paucity of videos in current action classification datasets (UCF-101 and HMDB-51) has made it difficult to identify good video architectures, as most methods obtain similar performance on existing small-scale benchmarks. xiczzniwvtaxrpmheukp