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 601–650 of 2759 papers

TitleStatusHype
Colo-SCRL: Self-Supervised Contrastive Representation Learning for Colonoscopic Video Retrieval—0
Collecting and Annotating the Large Continuous Action Dataset—0
An End-to-End Two-Stream Network Based on RGB Flow and Representation Flow for Human Action Recognition—0
A Cross-Dataset Study for Text-based 3D Human Motion Retrieval—0
3D Human motion anticipation and classification—0
Efficient Action Recognition Using Confidence Distillation—0
Action Recognition using Transfer Learning and Majority Voting for CSGO—0
An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data—0
Action recognition with spatial-temporal discriminative filter banks—0
Collaboratively Self-supervised Video Representation Learning for Action Recognition—0
Collaborative Learning for 3D Hand-Object Reconstruction and Compositional Action Recognition from Egocentric RGB Videos Using Superquadrics—0
End-to-End Video Captioning—0
Early Action Recognition with Action Prototypes—0
Collaborative Distillation in the Parameter and Spectrum Domains for Video Action Recognition—0
Collaborative Attention Mechanism for Multi-View Action Recognition—0
An Empirical Review of Deep Learning Frameworks for Change Detection: Model Design, Experimental Frameworks, Challenges and Research Needs—0
Coherent Temporal Synthesis for Incremental Action Segmentation—0
An Emerging Coding Paradigm VCM: A Scalable Coding Approach Beyond Feature and Signal—0
EA-VTR: Event-Aware Video-Text Retrieval—0
Coding Kendall's Shape Trajectories for 3D Action Recognition—0
An Effective End-to-End Solution for Multimodal Action Recognition—0
Anchor-Based Spatio-Temporal Attention 3D Convolutional Networks for Dynamic 3D Point Cloud Sequences—0
Action Recognition Using Supervised Spiking Neural Networks—0
EAGLE: Egocentric AGgregated Language-video Engine—0
An Attention-Enhanced Recurrent Graph Convolutional Network for Skeleton-Based Action Recognition—0
CNN-based Action Recognition and Supervised Domain Adaptation on 3D Body Skeletons via Kernel Feature Maps—0
An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition—0
CNN-Based Action Recognition and Pose Estimation for Classifying Animal Behavior from Videos: A Survey—0
A Comprehensive Survey on Architectural Advances in Deep CNNs: Challenges, Applications, and Emerging Research Directions—0
EdgeOAR: Real-time Online Action Recognition On Edge Devices—0
Efficient Action Recognition via Dynamic Knowledge Propagation—0
CMAE-V: Contrastive Masked Autoencoders for Video Action Recognition—0
CM2-Net: Continual Cross-Modal Mapping Network for Driver Action Recognition—0
An Approach to Pose-Based Action Recognition—0
CLTA: Contents and Length-based Temporal Attention for Few-shot Action Recognition—0
Action Recognition in Video Using Sparse Coding and Relative Features—0
Prototype Learning for Micro-gesture Classification—0
Clean Text and Full-Body Transformer: Microsoft's Submission to the WMT22 Shared Task on Sign Language Translation—0
CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition—0
An Analysis of Deep Neural Networks with Attention for Action Recognition from a Neurophysiological Perspective—0
Class-Incremental Learning for Action Recognition in Videos—0
Classifying Soccer Ball-on-Goal Position Through Kicker Shooting Action—0
An Analysis of Action Recognition Datasets for Language and Vision Tasks—0
A Comprehensive Review of Few-shot Action Recognition—0
DynamoNet: Dynamic Action and Motion Network—0
Classifying Object Manipulation Actions based on Grasp-types and Motion-Constraints—0
Classifying action correctness in physical rehabilitation exercises—0
Analyzing Zero-Shot Abilities of Vision-Language Models on Video Understanding Tasks—0
Analysis of Real-Time Hostile Activitiy Detection from Spatiotemporal Features Using Time Distributed Deep CNNs, RNNs and Attention-Based Mechanisms—0
Action Recognition in Video Recordings from Gynecologic Laparoscopy—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
4DejaVidTop-1 Accuracy77.2—Unverified
5InternVideoTop-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
3VideoMAE V2-g3-fold Accuracy99.6—Unverified
4OmniVec3-fold Accuracy99.6—Unverified
5BIKE3-fold Accuracy98.8—Unverified
6SMART3-fold Accuracy98.64—Unverified
7OmniSource (SlowOnly-8x8-R101-RGB + I3D-Flow)3-fold Accuracy98.6—Unverified
8PERF-Net (multi-distilled S3D)3-fold Accuracy98.6—Unverified
9ZeroI2V ViT-L/143-fold Accuracy98.6—Unverified
10LGD-3D Two-stream3-fold Accuracy98.2—Unverified