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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 801–850 of 1477 papers

TitleStatusHype
SkelMamba: A State Space Model for Efficient Skeleton Action Recognition of Neurological Disorders—0
Skepxels: Spatio-temporal Image Representation of Human Skeleton Joints for Action Recognition—0
Skimming and Scanning for Untrimmed Video Action Recognition—0
Sliding Dictionary Based Sparse Representation For Action Recognition—0
Slow and steady feature analysis: higher order temporal coherence in video—0
Slow Feature Analysis for Human Action Recognition—0
Slow Motion Matters: A Slow Motion Enhanced Network for Weakly Supervised Temporal Action Localization—0
SMART-Vision: Survey of Modern Action Recognition Techniques in Vision—0
SNN-Driven Multimodal Human Action Recognition via Event Camera and Skeleton Data Fusion—0
Space-Time Tree Ensemble for Action Recognition—0
Sparse and Low-Rank High-Order Tensor Regression via Parallel Proximal Method—0
Sparse Coding on Symmetric Positive Definite Manifolds using Bregman Divergences—0
Sparse Dictionary-based Attributes for Action Recognition and Summarization—0
Spatial-Temporal Pyramid Graph Reasoning for Action Recognition—0
Spatial Transformer Network with Transfer Learning for Small-scale Fine-grained Skeleton-based Tai Chi Action Recognition—0
Spatio-Temporal Action Localization in a Weakly Supervised Setting—0
Spatio-temporal Action Recognition: A Survey—0
Spatiotemporal Attention-based Semantic Compression for Real-time Video Recognition—0
Frequency Selective Augmentation for Video Representation Learning—0
Spatio-temporal Aware Non-negative Component Representation for Action Recognition—0
Spatio-temporal Contrastive Domain Adaptation for Action Recognition—0
Spatio-Temporal FAST 3D Convolutions for Human Action Recognition—0
Spatiotemporal Filtering for Event-Based Action Recognition—0
Spatiotemporal Fusion in 3D CNNs: A Probabilistic View—0
Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition—0
Spatiotemporal graph routing for skeleton-based action recognition—0
Spatio-temporal Human Action Localisation and Instance Segmentation in Temporally Untrimmed Videos—0
Spatio-Temporal Human Action Recognition Modelwith Flexible-interval Sampling and Normalization—0
Spatio-Temporal Instance Learning: Action Tubes from Class Supervision—0
Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition—0
Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding—0
Spatiotemporal Modeling Encounters 3D Medical Image Analysis: Slice-Shift UNet with Multi-View Fusion—0
Spatio-Temporal Pyramid Graph Convolutions for Human Action Recognition and Postural Assessment—0
Spatiotemporal Pyramid Network for Video Action Recognition—0
Spatio-Temporal Vector of Locally Max Pooled Features for Action Recognition in Videos—0
Squeeze-and-Excitation on Spatial and Temporal Deep Feature Space for Action Recognition—0
SSAN: Separable Self-Attention Network for Video Representation Learning—0
SSNet: Scale Selection Network for Online 3D Action Prediction—0
Stacked Spatio-Temporal Graph Convolutional Networks for Action Segmentation—0
STAR-Net: Action Recognition using Spatio-Temporal Activation Reprojection—0
STAR-Transformer: A Spatio-temporal Cross Attention Transformer for Human Action Recognition—0
STAT: Towards Generalizable Temporal Action Localization—0
STM: SpatioTemporal and Motion Encoding for Action Recognition—0
Storyboard guided Alignment for Fine-grained Video Action Recognition—0
STSM: Spatio-Temporal Shift Module for Efficient Action Recognition—0
Sub-action Prototype Learning for Point-level Weakly-supervised Temporal Action Localization—0
Submission to ActivityNet Challenge 2019: Task B Spatio-temporal Action Localization—0
Submodular Attribute Selection for Action Recognition in Video—0
Summarization of User-Generated Sports Video by Using Deep Action Recognition Features—0
SurgPETL: Parameter-Efficient Image-to-Surgical-Video Transfer Learning for Surgical Phase Recognition—0
Show:102550
← PrevPage 17 of 30Next →
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