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 17761800 of 2759 papers

TitleStatusHype
Action Localization through Continual Predictive Learning0
Modeling Cross-view Interaction Consistency for Paired Egocentric Interaction Recognition0
Ensembles of Deep Neural Networks for Action Recognition in Still Images0
Temporally Coherent Embeddings for Self-Supervised Video Representation LearningCode1
Temporal Extension Module for Skeleton-Based Action Recognition0
STH: Spatio-Temporal Hybrid Convolution for Efficient Action Recognition0
Predictively Encoded Graph Convolutional Network for Noise-Robust Skeleton-based Action RecognitionCode1
Feedback Graph Convolutional Network for Skeleton-based Action Recognition0
Energy-based Periodicity Mining with Deep Features for Action Repetition Counting in Unconstrained Videos0
Gimme Signals: Discriminative signal encoding for multimodal activity recognitionCode1
Skeleton Based Action Recognition using a Stacked Denoising Autoencoder with Constraints of Privileged Information0
Top-1 Solution of Multi-Moments in Time Challenge 2019Code1
Beyond the Camera: Neural Networks in World Coordinates0
On Compositions of Transformations in Contrastive Self-Supervised LearningCode1
Unifying Graph Embedding Features with Graph Convolutional Networks for Skeleton-based Action Recognition0
Self-Supervised Visual Learning by Variable Playback Speeds Prediction of a VideoCode0
The iCub multisensor datasets for robot and computer vision applications0
Image-based OoD-Detector Principles on Graph-based Input Data in Human Action Recognition0
Infrared and 3D skeleton feature fusion for RGB-D action recognitionCode1
Evolving Losses for Unsupervised Video Representation Learning0
Human Action Recognition using Local Two-Stream Convolution Neural Network Features and Support Vector Machines0
Knowledge Integration Networks for Action Recognition0
A Survey on 3D Skeleton-Based Action Recognition Using Learning Method0
Variational Conditional Dependence Hidden Markov Models for Skeleton-Based Action Recognition0
Learning spatio-temporal representations with temporal squeeze pooling0
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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