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 1051–1100 of 2759 papers

TitleStatusHype
Fusing Hand and Body Skeletons for Human Action Recognition in Assembly—0
Human Action Recognition in Still Images Using ConViT—0
Measuring Student Behavioral Engagement using Histogram of Actions—0
Similarity Min-Max: Zero-Shot Day-Night Domain Adaptation—0
Cross-Model Cross-Stream Learning for Self-Supervised Human Action RecognitionCode0
SoccerKDNet: A Knowledge Distillation Framework for Action Recognition in Soccer Videos—0
One-Shot Action Recognition via Multi-Scale Spatial-Temporal Skeleton Matching—0
Free-Form Composition Networks for Egocentric Action Recognition—0
InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation—0
A Study on Differentiable Logic and LLMs for EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2023—0
HA-ViD: A Human Assembly Video Dataset for Comprehensive Assembly Knowledge UnderstandingCode0
Fine-grained Action Analysis: A Multi-modality and Multi-task Dataset of Figure SkatingCode0
VideoGLUE: Video General Understanding Evaluation of Foundation Models—0
Task-Specific Alignment and Multiple Level Transformer for Few-Shot Action RecognitionCode0
Make A Long Image Short: Adaptive Token Length for Vision Transformers—0
SpATr: MoCap 3D Human Action Recognition based on Spiral Auto-encoder and Transformer NetworkCode0
Lightweight Recurrent Cross-modal Encoder for Video Question AnsweringCode0
Miniaturized Graph Convolutional Networks with Topologically Consistent Pruning—0
Theater Aid System for the Visually Impaired Through Transfer Learning of Spatio-Temporal Graph Convolution Networks—0
Multi-Dimensional Refinement Graph Convolutional Network with Robust Decouple Loss for Fine-Grained Skeleton-Based Action Recognition—0
Learning Scene Flow With Skeleton Guidance For 3D Action Recognition—0
Spiking Two-Stream Methods with Unsupervised STDP-based Learning for Action Recognition—0
Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition—0
How can objects help action recognition?—0
FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation—0
What can a cook in Italy teach a mechanic in India? Action Recognition Generalisation Over Scenarios and Locations—0
Action Recognition with Multi-stream Motion Modeling and Mutual Information MaximizationCode0
How Object Information Improves Skeleton-based Human Action Recognition in Assembly Tasks—0
Human Action Recognition in Egocentric Perspective Using 2D Object and Hands Pose—0
Optimizing ViViT Training: Time and Memory Reduction for Action Recognition—0
HomE: Homography-Equivariant Video Representation LearningCode0
Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie StimuliCode0
Pedestrian Crossing Action Recognition and Trajectory Prediction with 3D Human Keypoints—0
Hiera: A Hierarchical Vision Transformer without the Bells-and-WhistlesCode0
fpgaHART: A toolflow for throughput-oriented acceleration of 3D CNNs for HAR onto FPGAs—0
High-Performance Inference Graph Convolutional Networks for Skeleton-Based Action RecognitionCode0
Fourier Analysis on Robustness of Graph Convolutional Neural Networks for Skeleton-based Action RecognitionCode0
FMM-X3D: FPGA-based modeling and mapping of X3D for Human Action Recognition—0
CVB: A Video Dataset of Cattle Visual Behaviors—0
Deep Neural Networks in Video Human Action Recognition: A Review—0
Cross-view Action Recognition Understanding From Exocentric to Egocentric Perspective—0
High Speed Human Action Recognition using a Photonic Reservoir Computer—0
Contrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning—0
Spatiotemporal Attention-based Semantic Compression for Real-time Video Recognition—0
SCP: Soft Conditional Prompt Learning for Aerial Video Action Recognition—0
Motion-Scenario Decoupling for Rat-Aware Video Position Prediction: Strategy and Benchmark—0
Learning Higher-order Object Interactions for Keypoint-based Video Understanding—0
Is end-to-end learning enough for fitness activity recognition?—0
Lightweight Delivery Detection on Doorbell Cameras—0
Multi-scale spatial–temporal convolutional neural network for skeleton-based action recognitionCode0
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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