SOTAVerified

Temporal Action Localization

Temporal Action Localization aims to detect activities in the video stream and output beginning and end timestamps. It is closely related to Temporal Action Proposal Generation.

Papers

Showing 651700 of 1477 papers

TitleStatusHype
Complex Sequential Understanding through the Awareness of Spatial and Temporal ConceptsCode1
Project RISE: Recognizing Industrial Smoke EmissionsCode1
Action recognition in real-world videos0
Combining Deep Learning Classifiers for 3D Action Recognition0
Spatiotemporal Fusion in 3D CNNs: A Probabilistic View0
Improved Residual Networks for Image and Video RecognitionCode1
What and Where: Modeling Skeletons from Semantic and Spatial Perspectives for Action Recognition0
Human action recognition with a large-scale brain-inspired photonic computer0
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D NetworksCode1
Weakly-Supervised Action Localization by Generative Attention ModelingCode1
Ensembles of Deep Neural Networks for Action Recognition in Still Images0
Temporally Coherent Embeddings for Self-Supervised Video Representation LearningCode1
A Novel Online Action Detection Framework from Untrimmed Video Streams0
SF-Net: Single-Frame Supervision for Temporal Action LocalizationCode1
Skeleton Based Action Recognition using a Stacked Denoising Autoencoder with Constraints of Privileged Information0
Unifying Graph Embedding Features with Graph Convolutional Networks for Skeleton-based Action Recognition0
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
Human Action Recognition using Local Two-Stream Convolution Neural Network Features and Support Vector Machines0
Knowledge Integration Networks for Action Recognition0
Bottom-Up Temporal Action Localization with Mutual RegularizationCode1
Variational Conditional Dependence Hidden Markov Models for Skeleton-Based Action Recognition0
Dynamic Inference: A New Approach Toward Efficient Video Action Recognition0
An Information-rich Sampling Technique over Spatio-Temporal CNN for Classification of Human Actions in Videos0
3D ResNet with Ranking Loss Function for Abnormal Activity Detection in Videos0
Modality Compensation Network: Cross-Modal Adaptation for Action Recognition0
Human Action Performance using Deep Neuro-Fuzzy Recurrent Attention Model0
Weakly Supervised Temporal Action Localization Using Deep Metric LearningCode1
Context-Aware Cross-Attention for Skeleton-Based Human Action Recognition0
PGCN-TCA: Pseudo Graph Convolutional Network With Temporal and Channel-Wise Attention for Skeleton-Based Action Recognition0
Human Action Recognition and Assessment via Deep Neural Network Self-Organization0
DMCL: Distillation Multiple Choice Learning for Multimodal Action RecognitionCode0
Self-Attention Network for Skeleton-based Human Action Recognition0
Mimetics: Towards Understanding Human Actions Out of Context0
Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional NetworksCode0
SoccerDB: A Large-Scale Database for Comprehensive Video UnderstandingCode0
Flow-Distilled IP Two-Stream Networks for Compressed Video Action Recognition0
Video action detection by learning graph-based spatio-temporal interactionsCode0
Synthetic Humans for Action Recognition from Unseen ViewpointsCode0
View-invariant Deep Architecture for Human Action Recognition using late fusion0
Learning Sparse 2D Temporal Adjacent Networks for Temporal Action LocalizationCode1
Spatio-Temporal Pyramid Graph Convolutions for Human Action Recognition and Postural Assessment0
RSA: Randomized Simulation as Augmentation for Robust Human Action Recognition0
More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal AggregationCode0
Skeleton based Activity Recognition by Fusing Part-wise Spatio-temporal and Attention Driven Residues0
Sparse and Low-Rank High-Order Tensor Regression via Parallel Proximal Method0
Action Recognition via Pose-Based Graph Convolutional Networks with Intermediate Dense Supervision0
Skeleton based Zero Shot Action Recognition in Joint Pose-Language Semantic Space0
G-TAD: Sub-Graph Localization for Temporal Action DetectionCode1
Background Suppression Network for Weakly-supervised Temporal Action LocalizationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AdaTAD (VideoMAEv2-giant)Avg mAP (0.3:0.7)76.9Unverified
2RDFA-S6 (InternVideo2-6B)Avg mAP (0.3:0.7)74.2Unverified
3ActionMamba(InternVideo2-6B)Avg mAP (0.3:0.7)72.72Unverified
4GCMmAP IOU@0.172.5Unverified
5AGT (Ours)mAP IOU@0.172.1Unverified
6InternVideo2-6BAvg mAP (0.3:0.7)72Unverified
7ActionFormer (InternVideo features)Avg mAP (0.3:0.7)71.58Unverified
8TriDet (VideoMAE v2-g feature)Avg mAP (0.3:0.7)70.1Unverified
9InternVideo2-1BAvg mAP (0.3:0.7)69.8Unverified
10ActionFormer (VideoMAE V2-g features)Avg mAP (0.3:0.7)69.6Unverified
#ModelMetricClaimedVerifiedStatus
1UnLoc-LmAP IOU@0.559.3Unverified
2RDFA-S6 (InternVideo2-6B)mAP42.9Unverified
3ActionMamba (InternVideo2-6B)mAP42.02Unverified
4PRN+BMN (ensemble)mAP42Unverified
5AdaTAD (VideoMAEv2-giant)mAP41.93Unverified
6InternVideo2-6BmAP41.2Unverified
7InternVideo2-1BmAP40.4Unverified
8UniMD+Sync.mAP39.83Unverified
9PRN (CSN)mAP39.4Unverified
10InternVideomAP39Unverified
#ModelMetricClaimedVerifiedStatus
1RDFA-S6 (InternVideo2-6B)Average-mAP45.8Unverified
2ActionMamba(InternVideo2-6B)Average-mAP44.56Unverified
3DyFADet(VideoMAEv2)Average-mAP44.3Unverified
4InternVideo2-6BAverage-mAP43.3Unverified
5TriDet (VideoMAEv2)Average-mAP43.1Unverified
6InternVideo2-1BAverage-mAP42.4Unverified
7InternVideoAverage-mAP41.55Unverified
8TriDet (SlowFast)Average-mAP38.6Unverified
9TriDet (I3D RGB)Average-mAP36.8Unverified
10TadTr (I3D RGB)Average-mAP32.09Unverified
#ModelMetricClaimedVerifiedStatus
1RDFA-S6 (InternVideo2-6B)mAP29.6Unverified
2ActionMamba(InternVideo2-6B)mAP29.04Unverified
3InternVideo2-6BmAP27.7Unverified
4DyFADet (VideoMAE v2-g)mAP23.8Unverified
5VideoMAE V2-gmAP18.24Unverified
6InternVideomAP17.57Unverified
7BMN (i3d feaure)mAP9.25Unverified
8G-TAD (i3d feature)mAP9.06Unverified
9DBG (i3d feature)mAP6.75Unverified
#ModelMetricClaimedVerifiedStatus
1TriDet (VideoMAEv2)Average mAP37.5Unverified
2DualDETR (I3D-rgb)Average mAP32.64Unverified
3TriDet (I3D-rgb)Average mAP30.7Unverified
4TemporalMaxerAverage mAP29.9Unverified
5PointTADAverage mAP23.5Unverified
6PDANAverage mAP17.3Unverified
7MS-TCTAverage mAP16.2Unverified
8MLADAverage mAP14.2Unverified
#ModelMetricClaimedVerifiedStatus
1VideoCLIPRecall47.3Unverified
2VLMRecall46.5Unverified
3TACoRecall42.5Unverified
4Text-Video EmbeddingRecall33.6Unverified
5Fully-supervised upper-boundRecall31.6Unverified
6ZhukovRecall22.4Unverified
7AlayracRecall13.3Unverified
#ModelMetricClaimedVerifiedStatus
1AdaTAD (verb, VideoMAE-L)Avg mAP (0.1-0.5)29.3Unverified
2TriDet (verb)Avg mAP (0.1-0.5)25.4Unverified
3TemporalMaxer (verb)Avg mAP (0.1-0.5)24.5Unverified
4ActionFormer (verb)Avg mAP (0.1-0.5)23.5Unverified
5G-TAD (verb)Avg mAP (0.1-0.5)9.4Unverified
6BMN (verb)Avg mAP (0.1-0.5)8.4Unverified
#ModelMetricClaimedVerifiedStatus
1TemporalMaxermAP27.2Unverified
2MUSESmAP18.6Unverified
#ModelMetricClaimedVerifiedStatus
1DeepMetricLearnermAP IOU@0.535.2Unverified
#ModelMetricClaimedVerifiedStatus
1ActionFormer (SlowFast+Omnivore+EgoVLP)Average mAP21.76Unverified
#ModelMetricClaimedVerifiedStatus
1ActionFormer (SlowFast+Omnivore+EgoVLP)Average mAP21.4Unverified
#ModelMetricClaimedVerifiedStatus
1S-CNNmAP7.4Unverified