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 851–900 of 2759 papers

TitleStatusHype
DENOISER: Rethinking the Robustness for Open-Vocabulary Action Recognition—0
Interactive Generation of Laparoscopic Videos with Diffusion Models—0
Attack on Scene Flow using Point CloudsCode0
Aligning Actions and Walking to LLM-Generated Textual DescriptionsCode0
Simultaneous Detection and Interaction Reasoning for Object-Centric Action Recognition—0
Lower Limb Movements Recognition Based on Feature Recursive Elimination and Backpropagation Neural Network—0
Learning to Score Sign Language with Two-stage Method—0
HumMUSS: Human Motion Understanding using State Space Models—0
MK-SGN: A Spiking Graph Convolutional Network with Multimodal Fusion and Knowledge Distillation for Skeleton-based Action Recognition—0
In My Perspective, In My Hands: Accurate Egocentric 2D Hand Pose and Action RecognitionCode0
A Survey on Multimodal Wearable Sensor-based Human Action Recognition—0
Exploring Explainability in Video Action Recognition—0
Multimodal Attack Detection for Action Recognition ModelsCode0
MSSTNet: A Multi-Scale Spatio-Temporal CNN-Transformer Network for Dynamic Facial Expression Recognition—0
Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action Recognition—0
An Animation-based Augmentation Approach for Action Recognition from Discontinuous VideoCode0
O-TALC: Steps Towards Combating Oversegmentation within Online Action Segmentation—0
ActNetFormer: Transformer-ResNet Hybrid Method for Semi-Supervised Action Recognition in VideosCode0
X-VARS: Introducing Explainability in Football Refereeing with Multi-Modal Large Language Model—0
Learning Correlation Structures for Vision Transformers—0
Koala: Key frame-conditioned long video-LLM—0
PhysPT: Physics-aware Pretrained Transformer for Estimating Human Dynamics from Monocular Videos—0
Multi-Scale Spatial-Temporal Self-Attention Graph Convolutional Networks for Skeleton-based Action Recognition—0
Language Model Guided Interpretable Video Action ReasoningCode0
Leveraging YOLO-World and GPT-4V LMMs for Zero-Shot Person Detection and Action Recognition in Drone Imagery—0
LLMs are Good Action Recognizers—0
A Unified Framework for Human-centric Point Cloud Video Understanding—0
Hypergraph-based Multi-View Action Recognition using Event Cameras—0
Enhancing Video Transformers for Action Understanding with VLM-aided Training—0
Emotion Recognition from the perspective of Activity Recognition—0
Benchmarking Badminton Action Recognition with a New Fine-Grained Dataset—0
Selective, Interpretable, and Motion Consistent Privacy Attribute Obfuscation for Action Recognition—0
Multi-View Video-Based Learning: Leveraging Weak Labels for Frame-Level Perception—0
A Survey of IMU Based Cross-Modal Transfer Learning in Human Activity Recognition—0
CrossGLG: LLM Guides One-shot Skeleton-based 3D Action Recognition in a Cross-level Manner—0
Skeleton-Based Human Action Recognition with Noisy LabelsCode0
Leveraging Foundation Model Automatic Data Augmentation Strategies and Skeletal Points for Hands Action Recognition in Industrial Assembly Lines—0
Transformer-based Fusion of 2D-pose and Spatio-temporal Embeddings for Distracted Driver Action Recognition—0
Density-Guided Label Smoothing for Temporal Localization of Driving Actions—0
Deep Learning Approaches for Human Action Recognition in Video Data—0
Coherent Temporal Synthesis for Incremental Action Segmentation—0
Temporal Relations of Informative Frames in Action RecognitionCode0
Video Relationship Detection Using Mixture of ExpertsCode0
A Unified Model Selection Technique for Spectral Clustering Based Motion Segmentation—0
Multimodal Transformer With a Low-Computational-Cost Guarantee—0
Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition—0
Advancing Human Action Recognition with Foundation Models trained on Unlabeled Public Videos—0
PBADet: A One-Stage Anchor-Free Approach for Part-Body Association—0
Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment—0
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained WarpingCode0
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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