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

Showing 601650 of 2759 papers

TitleStatusHype
Non-Local Graph Convolutional Networks for Skeleton-Based Action RecognitionCode0
NEV-NCD: Negative Learning, Entropy, and Variance regularization based novel action categories discoveryCode0
Nested Grassmannians for Dimensionality Reduction with ApplicationsCode0
Coarse or Fine? Recognising Action End States without LabelsCode0
Action Recognition Using Temporal Shift Module and Ensemble LearningCode0
CNN based Multistage Gated Average Fusion (MGAF) for Human Action Recognition Using Depth and Inertial SensorsCode0
OccamNets: Mitigating Dataset Bias by Favoring Simpler HypothesesCode0
MultiSensor-Home: A Wide-area Multi-modal Multi-view Dataset for Action Recognition and Transformer-based Sensor FusionCode0
Multi-task Deep Learning for Real-Time 3D Human Pose Estimation and Action RecognitionCode0
An Animation-based Augmentation Approach for Action Recognition from Discontinuous VideoCode0
Multiple Human Tracking using Multi-Cues including Primitive Action FeaturesCode0
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video UnderstandingCode0
Multi-scale spatial–temporal convolutional neural network for skeleton-based action recognitionCode0
Multimodal Task-Driven Dictionary Learning for Image ClassificationCode0
Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN FeaturesCode0
Multimodal Visual Concept Learning with Weakly Supervised TechniquesCode0
Multi-View Action Recognition Using Contrastive LearningCode0
Class Feature Pyramids for Video ExplanationCode0
Multimodal Attack Detection for Action Recognition ModelsCode0
Analysis of Hand Segmentation in the WildCode0
Multi-Level Feature Distillation of Joint Teachers Trained on Distinct Image DatasetsCode0
Analysis and Extensions of Adversarial Training for Video ClassificationCode0
A Comparative Review of Recent Kinect-based Action Recognition AlgorithmsCode0
Multi-level Second-order Few-shot LearningCode0
Analysis and Evaluation of Kinect-based Action Recognition AlgorithmsCode0
Multi-attention Networks for Temporal Localization of Video-level LabelsCode0
Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and DetectionCode0
A Multi-viewpoint Outdoor Dataset for Human Action RecognitionCode0
Multi class activity classification in videos using Motion History Image generationCode0
MorphMLP: An Efficient MLP-Like Backbone for Spatial-Temporal Representation LearningCode0
Moments in Time Dataset: one million videos for event understandingCode0
MaCLR: Motion-aware Contrastive Learning of Representations for VideosCode0
Action Recognition in Real-World Ambient Assisted Living EnvironmentCode0
MOFO: MOtion FOcused Self-Supervision for Video UnderstandingCode0
More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal AggregationCode0
Multi-view Distillation based on Multi-modal Fusion for Few-shot Action Recognition(CLIP-M^2DF)Code0
Capturing Temporal Information in a Single Frame: Channel Sampling Strategies for Action RecognitionCode0
MMG-Ego4D: Multi-Modal Generalization in Egocentric Action RecognitionCode0
MLP-3D: A MLP-like 3D Architecture with Grouped Time MixingCode0
Action Recognition from Single Timestamp Supervision in Untrimmed VideosCode0
MMG-Ego4D: Multimodal Generalization in Egocentric Action RecognitionCode0
Mission Balance: Generating Under-represented Class Samples using Video Diffusion ModelsCode0
MITFAS: Mutual Information based Temporal Feature Alignment and Sampling for Aerial Video Action RecognitionCode0
Mining YouTube - A dataset for learning fine-grained action concepts from webly supervised video dataCode0
MetaVD: A Meta Video Dataset for enhancing human action recognition datasetsCode0
Aligning Actions and Walking to LLM-Generated Textual DescriptionsCode0
A Central Difference Graph Convolutional Operator for Skeleton-Based Action RecognitionCode0
Meta-path Analysis on Spatio-Temporal Graphs for Pedestrian Trajectory PredictionCode0
MFAS: Multimodal Fusion Architecture SearchCode0
MD-BERT: Action Recognition in Dark Videos via Dynamic Multi-Stream Fusion and Temporal ModelingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MViTv2-B (IN-21K + Kinetics400 pretrain)Top-5 Accuracy93.4Unverified
2RSANet-R50 (8+16 frames, ImageNet pretrained, 2 clips)Top-5 Accuracy91.1Unverified
3MVD (Kinetics400 pretrain, ViT-H, 16 frame)Top-1 Accuracy77.3Unverified
4DejaVidTop-1 Accuracy77.2Unverified
5InternVideoTop-1 Accuracy77.2Unverified
6InternVideo2-1BTop-1 Accuracy77.1Unverified
7VideoMAE V2-gTop-1 Accuracy77Unverified
8MVD (Kinetics400 pretrain, ViT-L, 16 frame)Top-1 Accuracy76.7Unverified
9Hiera-L (no extra data)Top-1 Accuracy76.5Unverified
10TubeViT-LTop-1 Accuracy76.1Unverified
#ModelMetricClaimedVerifiedStatus
1FTP-UniFormerV2-L/143-fold Accuracy99.7Unverified
2OmniVec23-fold Accuracy99.6Unverified
3VideoMAE V2-g3-fold Accuracy99.6Unverified
4OmniVec3-fold Accuracy99.6Unverified
5BIKE3-fold Accuracy98.8Unverified
6SMART3-fold Accuracy98.64Unverified
7OmniSource (SlowOnly-8x8-R101-RGB + I3D-Flow)3-fold Accuracy98.6Unverified
8PERF-Net (multi-distilled S3D)3-fold Accuracy98.6Unverified
9ZeroI2V ViT-L/143-fold Accuracy98.6Unverified
10LGD-3D Two-stream3-fold Accuracy98.2Unverified