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

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Showing 351–400 of 1477 papers

TitleStatusHype
Actor-identified Spatiotemporal Action Detection --- Detecting Who Is Doing What in VideosCode0
Adaptive Perception Transformer for Temporal Action Localization—0
Enabling Weakly-Supervised Temporal Action Localization from On-Device Learning of the Video Stream—0
Progressive Cross-modal Knowledge Distillation for Human Action Recognition—0
Temporal Action Localization with Multi-temporal Scales—0
Two-person Graph Convolutional Network for Skeleton-based Human Interaction RecognitionCode0
Spatial-Temporal Pyramid Graph Reasoning for Action Recognition—0
BabyNet: A Lightweight Network for Infant Reaching Action Recognition in Unconstrained Environments to Support Future Pediatric Rehabilitation Applications—0
Video-based Human Action Recognition using Deep Learning: A Review—0
Blockwise Temporal-Spatial Pathway Network—0
Privacy-Preserving Action Recognition via Motion Difference QuantizationCode1
Dilated Context Integrated Network with Cross-Modal Consensus for Temporal Emotion Localization in VideosCode0
Combined CNN Transformer Encoder for Enhanced Fine-grained Human Action Recognition—0
Unsupervised Domain Adaptation for Video Transformers in Action RecognitionCode0
Real-Time Elderly Monitoring for Senior Safety by Lightweight Human Action Recognition—0
HTNet: Anchor-free Temporal Action Localization with Hierarchical Transformers—0
Time Is MattEr: Temporal Self-supervision for Video TransformersCode1
LAVA: Language Audio Vision Alignment for Contrastive Video Pre-Training—0
ReAct: Temporal Action Detection with Relational QueriesCode1
Forcing the Whole Video as Background: An Adversarial Learning Strategy for Weakly Temporal Action Localization—0
Proposal-Free Temporal Action Detection via Global Segmentation Mask LearningCode1
Skeletal Human Action Recognition using Hybrid Attention based Graph Convolutional NetworkCode0
Large-scale Robustness Analysis of Video Action Recognition ModelsCode0
Spatial Transformer Network with Transfer Learning for Small-scale Fine-grained Skeleton-based Tai Chi Action Recognition—0
ST-Adapter: Parameter-Efficient Image-to-Video Transfer LearningCode1
Learning to Refactor Action and Co-occurrence Features for Temporal Action Localization—0
Weakly-Supervised Temporal Action Localization by Progressive Complementary LearningCode0
temporal driver action Localization using action classifications methodCode0
Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition—0
PrivHAR: Recognizing Human Actions From Privacy-preserving Lens—0
TadML: A fast temporal action detection with Mechanics-MLPCode0
3D Convolutional with Attention for Action Recognition—0
Self-supervised Learning of Audio Representations from Audio-Visual Data using Spatial Alignment—0
A Survey on Video Action Recognition in Sports: Datasets, Methods and ApplicationsCode3
MMNet: A Model-Based Multimodal Network for Human Action Recognition in RGB-D VideosCode1
2D versus 3D Convolutional Spiking Neural Networks Trained with Unsupervised STDP for Human Action Recognition—0
GraSens: A Gabor Residual Anti-aliasing Sensing Framework for Action Recognition using WiFi—0
Structured Attention Composition for Temporal Action LocalizationCode2
Representation Learning for Compressed Video Action Recognition via Attentive Cross-modal Interaction with Motion Enhancement—0
BasicTAD: an Astounding RGB-Only Baseline for Temporal Action DetectionCode1
Handcrafted localized phase features for human action recognition—0
Convex Combination Consistency between Neighbors for Weakly-supervised Action LocalizationCode1
Contrastive Language-Action Pre-training for Temporal Localization—0
Unsupervised Human Action Recognition with Skeletal Graph Laplacian and Self-Supervised Viewpoints InvarianceCode0
A Survey of Video-based Action Quality Assessment—0
ActAR: Actor-Driven Pose Embeddings for Video Action Recognition—0
Invisible-to-Visible: Privacy-Aware Human Instance Segmentation using Airborne Ultrasound via Collaborative Learning Variational Autoencoder—0
E^2TAD: An Energy-Efficient Tracking-based Action DetectorCode1
Frequency Selective Augmentation for Video Representation Learning—0
An Empirical Study of End-to-End Temporal Action DetectionCode1
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All datasetsTHUMOS14ActivityNet-1.3HACSFineActionMultiTHUMOSCrossTaskEPIC-KITCHENS-100MUSESActivityNet-1.2Ego4D MQ testEgo4D MQ valMEXaction2

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AdaTAD (VideoMAEv2-giant)Avg mAP (0.3:0.7)76.9—Unverified
2RDFA-S6 (InternVideo2-6B)Avg mAP (0.3:0.7)74.2—Unverified
3ActionMamba(InternVideo2-6B)Avg mAP (0.3:0.7)72.72—Unverified
4GCMmAP IOU@0.172.5—Unverified
5AGT (Ours)mAP IOU@0.172.1—Unverified
6InternVideo2-6BAvg mAP (0.3:0.7)72—Unverified
7ActionFormer (InternVideo features)Avg mAP (0.3:0.7)71.58—Unverified
8TriDet (VideoMAE v2-g feature)Avg mAP (0.3:0.7)70.1—Unverified
9InternVideo2-1BAvg mAP (0.3:0.7)69.8—Unverified
10ActionFormer (VideoMAE V2-g features)Avg mAP (0.3:0.7)69.6—Unverified
#ModelMetricClaimedVerifiedStatus
1UnLoc-LmAP IOU@0.559.3—Unverified
2RDFA-S6 (InternVideo2-6B)mAP42.9—Unverified
3ActionMamba (InternVideo2-6B)mAP42.02—Unverified
4PRN+BMN (ensemble)mAP42—Unverified
5AdaTAD (VideoMAEv2-giant)mAP41.93—Unverified
6InternVideo2-6BmAP41.2—Unverified
7InternVideo2-1BmAP40.4—Unverified
8UniMD+Sync.mAP39.83—Unverified
9PRN (CSN)mAP39.4—Unverified
10InternVideomAP39—Unverified
#ModelMetricClaimedVerifiedStatus
1RDFA-S6 (InternVideo2-6B)Average-mAP45.8—Unverified
2ActionMamba(InternVideo2-6B)Average-mAP44.56—Unverified
3DyFADet(VideoMAEv2)Average-mAP44.3—Unverified
4InternVideo2-6BAverage-mAP43.3—Unverified
5TriDet (VideoMAEv2)Average-mAP43.1—Unverified
6InternVideo2-1BAverage-mAP42.4—Unverified
7InternVideoAverage-mAP41.55—Unverified
8TriDet (SlowFast)Average-mAP38.6—Unverified
9TriDet (I3D RGB)Average-mAP36.8—Unverified
10TadTr (I3D RGB)Average-mAP32.09—Unverified
#ModelMetricClaimedVerifiedStatus
1RDFA-S6 (InternVideo2-6B)mAP29.6—Unverified
2ActionMamba(InternVideo2-6B)mAP29.04—Unverified
3InternVideo2-6BmAP27.7—Unverified
4DyFADet (VideoMAE v2-g)mAP23.8—Unverified
5VideoMAE V2-gmAP18.24—Unverified
6InternVideomAP17.57—Unverified
7BMN (i3d feaure)mAP9.25—Unverified
8G-TAD (i3d feature)mAP9.06—Unverified
9DBG (i3d feature)mAP6.75—Unverified
#ModelMetricClaimedVerifiedStatus
1TriDet (VideoMAEv2)Average mAP37.5—Unverified
2DualDETR (I3D-rgb)Average mAP32.64—Unverified
3TriDet (I3D-rgb)Average mAP30.7—Unverified
4TemporalMaxerAverage mAP29.9—Unverified
5PointTADAverage mAP23.5—Unverified
6PDANAverage mAP17.3—Unverified
7MS-TCTAverage mAP16.2—Unverified
8MLADAverage mAP14.2—Unverified
#ModelMetricClaimedVerifiedStatus
1VideoCLIPRecall47.3—Unverified
2VLMRecall46.5—Unverified
3TACoRecall42.5—Unverified
4Text-Video EmbeddingRecall33.6—Unverified
5Fully-supervised upper-boundRecall31.6—Unverified
6ZhukovRecall22.4—Unverified
7AlayracRecall13.3—Unverified
#ModelMetricClaimedVerifiedStatus
1AdaTAD (verb, VideoMAE-L)Avg mAP (0.1-0.5)29.3—Unverified
2TriDet (verb)Avg mAP (0.1-0.5)25.4—Unverified
3TemporalMaxer (verb)Avg mAP (0.1-0.5)24.5—Unverified
4ActionFormer (verb)Avg mAP (0.1-0.5)23.5—Unverified
5G-TAD (verb)Avg mAP (0.1-0.5)9.4—Unverified
6BMN (verb)Avg mAP (0.1-0.5)8.4—Unverified
#ModelMetricClaimedVerifiedStatus
1TemporalMaxermAP27.2—Unverified
2MUSESmAP18.6—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepMetricLearnermAP IOU@0.535.2—Unverified
#ModelMetricClaimedVerifiedStatus
1ActionFormer (SlowFast+Omnivore+EgoVLP)Average mAP21.76—Unverified
#ModelMetricClaimedVerifiedStatus
1ActionFormer (SlowFast+Omnivore+EgoVLP)Average mAP21.4—Unverified
#ModelMetricClaimedVerifiedStatus
1S-CNNmAP7.4—Unverified