SOTAVerified

Action Recognition

Action Recognition is a computer vision task that involves recognizing human actions in videos or images. The goal is to classify and categorize the actions being performed in the video or image into a predefined set of action classes.

In the video domain, it is an open question whether training an action classification network on a sufficiently large dataset, will give a similar boost in performance when applied to a different temporal task or dataset. The challenges of building video datasets has meant that most popular benchmarks for action recognition are small, having on the order of 10k videos.

Please note some benchmarks may be located in the Action Classification or Video Classification tasks, e.g. Kinetics-400.

Papers

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Showing 1851–1900 of 2759 papers

TitleStatusHype
A Large-Scale Re-identification Analysis in Sporting Scenarios: the Betrayal of Reaching a Critical Point—0
A Large-Scale Robustness Analysis of Video Action Recognition Models—0
A Large-scale Varying-view RGB-D Action Dataset for Arbitrary-view Human Action Recognition—0
A Latent Clothing Attribute Approach for Human Pose Estimation—0
ALBAR: Adversarial Learning approach to mitigate Biases in Action Recognition—0
ALGO: Object-Grounded Visual Commonsense Reasoning for Open-World Egocentric Action Recognition—0
Align before Adapt: Leveraging Entity-to-Region Alignments for Generalizable Video Action Recognition—0
Aligning Correlation Information for Domain Adaptation in Action Recognition—0
Alignment-guided Temporal Attention for Video Action Recognition—0
All About Knowledge Graphs for Actions—0
Alternative Semantic Representations for Zero-Shot Human Action Recognition—0
AM Flow: Adapters for Temporal Processing in Action Recognition—0
A Multi-Stream Bi-Directional Recurrent Neural Network for Fine-Grained Action Detection—0
An Action Recognition network for specific target based on rMC and RPN—0
Analysis of Real-Time Hostile Activitiy Detection from Spatiotemporal Features Using Time Distributed Deep CNNs, RNNs and Attention-Based Mechanisms—0
Analyzing Zero-Shot Abilities of Vision-Language Models on Video Understanding Tasks—0
An Analysis of Action Recognition Datasets for Language and Vision Tasks—0
An Analysis of Deep Neural Networks with Attention for Action Recognition from a Neurophysiological Perspective—0
An Approach to Pose-Based Action Recognition—0
An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition—0
An Attention-Enhanced Recurrent Graph Convolutional Network for Skeleton-Based Action Recognition—0
Anchor-Based Spatio-Temporal Attention 3D Convolutional Networks for Dynamic 3D Point Cloud Sequences—0
An Effective End-to-End Solution for Multimodal Action Recognition—0
An Emerging Coding Paradigm VCM: A Scalable Coding Approach Beyond Feature and Signal—0
An Empirical Review of Deep Learning Frameworks for Change Detection: Model Design, Experimental Frameworks, Challenges and Research Needs—0
End-to-End Video Captioning—0
An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data—0
An End-to-End Two-Stream Network Based on RGB Flow and Representation Flow for Human Action Recognition—0
A New Action Recognition Framework for Video Highlights Summarization in Sporting Events—0
A New Adjacency Matrix Configuration in GCN-based Models for Skeleton-based Action Recognition—0
A New Representation of Skeleton Sequences for 3D Action Recognition—0
Ani-GIFs: A benchmark dataset for domain generalization of action recognition from GIFs—0
An Improved Graph Pooling Network for Skeleton-Based Action Recognition—0
An Improved Video Analysis using Context based Extension of LSH—0
An Information Compensation Framework for Zero-Shot Skeleton-based Action Recognition—0
An Information-rich Sampling Technique over Spatio-Temporal CNN for Classification of Human Actions in Videos—0
Annotation-Efficient Untrimmed Video Action Recognition—0
Annotation Methodologies for Vision and Language Dataset Creation—0
A Nonparametric Bayesian Approach Toward Stacked Convolutional Independent Component Analysis—0
A novel action recognition system for smart monitoring of elderly people using Action Pattern Image and Series CNN with transfer learning—0
A Novel Approach for Human Action Recognition from Silhouette Images—0
A Novel Approach for Robust Multi Human Action Recognition and Summarization based on 3D Convolutional Neural Networks—0
A Novel Geometric Framework on Gram Matrix Trajectories for Human Behavior Understanding—0
A Novel Locally Linear KNN Model for Visual Recognition—0
A Novel Self-Knowledge Distillation Approach with Siamese Representation Learning for Action Recognition—0
Anticipating human actions by correlating past with the future with Jaccard similarity measures—0
ANUBIS: Skeleton Action Recognition Dataset, Review, and Benchmark—0
An X3D Neural Network Analysis for Runner's Performance Assessment in a Wild Sporting Environment—0
Application-Driven AI Paradigm for Human Action Recognition—0
A Prospective Study on Sequence-Driven Temporal Sampling and Ego-Motion Compensation for Action Recognition in the EPIC-Kitchens Dataset—0
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All datasetsSomething-Something V2UCF101HMDB-51Something-Something V1AVA v2.2EPIC-KITCHENS-100NTU RGB+DNTU RGB+D 120Diving-48ActivityNetAVA v2.1H2O (2 Hands and Objects)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MViTv2-B (IN-21K + Kinetics400 pretrain)Top-5 Accuracy93.4—Unverified
2RSANet-R50 (8+16 frames, ImageNet pretrained, 2 clips)Top-5 Accuracy91.1—Unverified
3MVD (Kinetics400 pretrain, ViT-H, 16 frame)Top-1 Accuracy77.3—Unverified
4InternVideoTop-1 Accuracy77.2—Unverified
5DejaVidTop-1 Accuracy77.2—Unverified
6InternVideo2-1BTop-1 Accuracy77.1—Unverified
7VideoMAE V2-gTop-1 Accuracy77—Unverified
8MVD (Kinetics400 pretrain, ViT-L, 16 frame)Top-1 Accuracy76.7—Unverified
9Hiera-L (no extra data)Top-1 Accuracy76.5—Unverified
10TubeViT-LTop-1 Accuracy76.1—Unverified
#ModelMetricClaimedVerifiedStatus
1FTP-UniFormerV2-L/143-fold Accuracy99.7—Unverified
2OmniVec23-fold Accuracy99.6—Unverified
3OmniVec3-fold Accuracy99.6—Unverified
4VideoMAE V2-g3-fold Accuracy99.6—Unverified
5BIKE3-fold Accuracy98.8—Unverified
6SMART3-fold Accuracy98.64—Unverified
7ZeroI2V ViT-L/143-fold Accuracy98.6—Unverified
8OmniSource (SlowOnly-8x8-R101-RGB + I3D-Flow)3-fold Accuracy98.6—Unverified
9PERF-Net (multi-distilled S3D)3-fold Accuracy98.6—Unverified
10Text4Vis3-fold Accuracy98.2—Unverified