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
Actionlet-Dependent Contrastive Learning for Unsupervised Skeleton-Based Action Recognition—0
Distribution of Action Movements (DAM): A Descriptor for Human Action Recognition—0
Distributed non-parametric deep and wide networks—0
DistInit: Learning Video Representations Without a Single Labeled Video—0
Automatic Operating Room Surgical Activity Recognition for Robot-Assisted Surgery—0
A discussion on the validation tests employed to compare human action recognition methods using the MSR Action3D dataset—0
Distilling Knowledge from CNN-Transformer Models for Enhanced Human Action Recognition—0
Distillation of Human-Object Interaction Contexts for Action Recognition—0
Automatic evaluation of herding behavior in towed fishing gear using end-to-end training of CNN and attention-based networks—0
StableMamba: Distillation-free Scaling of Large SSMs for Images and Videos—0
Distantly Supervised Semantic Text Detection and Recognition for Broadcast Sports Videos Understanding—0
Automatic Curation of Golf Highlights using Multimodal Excitement Features—0
ADHD diagnosis based on action characteristics recorded in videos using machine learning—0
Disentangled Action Recognition with Knowledge Bases—0
A^2-Nets: Double Attention Networks—0
HumMUSS: Human Motion Understanding using State Space Models—0
HyLiFormer: Hyperbolic Linear Attention for Skeleton-based Human Action Recognition—0
iCub! Do you recognize what I am doing?: multimodal human action recognition on multisensory-enabled iCub robot—0
DiscrimNet: Semi-Supervised Action Recognition from Videos using Generative Adversarial Networks—0
Discriminative Video Representation Learning Using Support Vector Classifiers—0
Discriminatively Trained Latent Ordinal Model for Video Classification—0
Discriminative Hierarchical Rank Pooling for Activity Recognition—0
A Unified Model Selection Technique for Spectral Clustering Based Motion Segmentation—0
Discriminative Dictionary Design for Action Classification in Still Images and Videos—0
Discriminative convolutional Fisher vector network for action recognition—0
A Unified Method for First and Third Person Action Recognition—0
Discriminative Bayesian Dictionary Learning for Classification—0
A Unified Framework to Analyze and Design the Nonlocal Blocks for Neural Networks—0
A Deep Learning Approach for Real-Time 3D Human Action Recognition from Skeletal Data—0
Action Keypoint Network for Efficient Video Recognition—0
3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition—0
Discriminability Distillation in Group Representation Learning—0
A Unified Framework for Human-centric Point Cloud Video Understanding—0
Direct Motion Models for Assessing Generated Videos—0
Directional Temporal Modeling for Action Recognition—0
A Unified Deep Framework for Joint 3D Pose Estimation and Action Recognition from a Single RGB Camera—0
Direct Dense Pose Estimation—0
Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation—0
DIR-AS: Decoupling Individual Identification and Temporal Reasoning for Action Segmentation—0
Clustering and Recognition of Spatiotemporal Features through Interpretable Embedding of Sequence to Sequence Recurrent Neural Networks—0
Adding Attentiveness to the Neurons in Recurrent Neural Networks—0
Action in Mind: A Neural Network Approach to Action Recognition and Segmentation—0
Human Stone Toolmaking Action Grammar (HSTAG): A Challenging Benchmark for Fine-grained Motor Behavior Recognition—0
Differential Recurrent Neural Networks for Action Recognition—0
Differentiable Frequency-based Disentanglement for Aerial Video Action Recognition—0
Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution—0
AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action Recognition—0
Action Genome: Actions As Compositions of Spatio-Temporal Scene Graphs—0
Human in Events: A Large-Scale Benchmark for Human-centric Video Analysis in Complex Events—0
DevNet: A Deep Event Network for Multimedia Event Detection and Evidence Recounting—0
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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
4InternVideoTop-1 Accuracy77.2—Unverified
5DejaVidTop-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
3OmniVec3-fold Accuracy99.6—Unverified
4VideoMAE V2-g3-fold Accuracy99.6—Unverified
5BIKE3-fold Accuracy98.8—Unverified
6SMART3-fold Accuracy98.64—Unverified
7ZeroI2V ViT-L/143-fold Accuracy98.6—Unverified
8OmniSource (SlowOnly-8x8-R101-RGB + I3D-Flow)3-fold Accuracy98.6—Unverified
9PERF-Net (multi-distilled S3D)3-fold Accuracy98.6—Unverified
10Text4Vis3-fold Accuracy98.2—Unverified