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 24262450 of 2759 papers

TitleStatusHype
Context-based Object Viewpoint Estimation: A 2D Relational Approach0
Invariant recognition drives neural representations of action sequences0
Temporal Action Detection with Structured Segment NetworksCode2
Skeleton Boxes: Solving skeleton based action detection with a single deep convolutional neural network0
Skeleton based action recognition using translation-scale invariant image mapping and multi-scale deep cnn0
Interpretable 3D Human Action Analysis with Temporal Convolutional NetworksCode0
Learning to Estimate Pose by Watching VideosCode0
UC Merced Submission to the ActivityNet Challenge 20160
Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks0
First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose AnnotationsCode0
Generalized Rank Pooling for Activity Recognition0
Action Representation Using Classifier Decision Boundaries0
Two Stream LSTM: A Deep Fusion Framework for Human Action Recognition0
Unsupervised Action Proposal Ranking through Proposal Recombination0
Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and DetectionCode0
Hidden Two-Stream Convolutional Networks for Action RecognitionCode1
Skeletonnet: Mining deep part features for 3-d action recognition0
TS-LSTM and Temporal-Inception: Exploiting Spatiotemporal Dynamics for Activity RecognitionCode0
Pose-conditioned Spatio-Temporal Attention for Human Action Recognition0
Learning and Refining of Privileged Information-based RNNs for Action Recognition from Depth Sequences0
Locality preserving projection on SPD matrix Lie group: algorithm and analysis0
View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton DataCode0
A Bag-of-Words Equivalent Recurrent Neural Network for Action RecognitionCode0
Two-Stream RNN/CNN for Action Recognition in 3D Videos0
PKU-MMD: A Large Scale Benchmark for Continuous Multi-Modal Human Action Understanding0
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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