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 851–900 of 1477 papers

TitleStatusHype
DistInit: Learning Video Representations Without a Single Labeled Video—0
ODN: Opening the Deep Network for Open-set Action Recognition—0
Semantic Image Networks for Human Action Recognition—0
Skeleton-based Action Recognition of People Handling Objects—0
DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition—0
Cricket stroke extraction: Towards creation of a large-scale cricket actions dataset—0
UAV-GESTURE: A Dataset for UAV Control and Gesture RecognitionCode0
Mutual Context Network for Jointly Estimating Egocentric Gaze and Actions—0
Action2Vec: A Crossmodal Embedding Approach to Action Learning—0
Cross-modal Learning by Hallucinating Missing Modalities in RGB-D VisionCode0
Learning to Recognize 3D Human Action from A New Skeleton-based Representation Using Deep Convolutional Neural Networks—0
Coupled Recurrent Network (CRN)—0
Temporal Hockey Action Recognition via Pose and Optical Flows—0
Canonical Correlation Analysis for Misaligned Satellite Image Change Detection—0
D3D: Distilled 3D Networks for Video Action RecognitionCode0
AU R-CNN: Encoding Expert Prior Knowledge into R-CNN for Action Unit DetectionCode0
Action Machine: Rethinking Action Recognition in Trimmed Videos—0
TAN: Temporal Aggregation Network for Dense Multi-label Action Recognition—0
Nrityantar: Pose oblivious Indian classical dance sequence classification system—0
Dynamic Graph Modules for Modeling Object-Object Interactions in Activity Recognition—0
Learning Discriminative Motion Features Through Detection—0
Loss Guided Activation for Action Recognition in Still Images—0
Unsupervised Feature Learning of Human Actions as Trajectories in Pose Embedding ManifoldCode0
Multimodal Explanations by Predicting Counterfactuality in Videos—0
MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language—0
SUSiNet: See, Understand and Summarize it—0
Structure-Aware Convolutional Neural NetworksCode0
A^2-Nets: Double Attention NetworksCode0
Trajectory Convolution for Action Recognition—0
Graph-Based Global Reasoning NetworksCode0
Optimized Skeleton-based Action Recognition via Sparsified Graph Regression—0
Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer VisionCode0
Adversarial Attacks for Optical Flow-Based Action Recognition Classifiers—0
Self-Supervised Spatiotemporal Feature Learning via Video Rotation Prediction—0
Unrepresentative video data: A review and evaluation—0
Stacked Spatio-Temporal Graph Convolutional Networks for Action Segmentation—0
LSTA: Long Short-Term Attention for Egocentric Action RecognitionCode0
Learning Conditional Random Fields with Augmented Observations for Partially Observed Action Recognition—0
Privacy-Preserving Action Recognition for Smart Hospitals using Low-Resolution Depth Images—0
Temporal Bilinear Networks for Video Action Recognition—0
Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles—0
RGB-D Based Action Recognition with Light-weight 3D Convolutional Networks—0
Multi-Task Learning of Generalizable Representations for Video Action Recognition—0
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image RepresentationsCode0
Relational Long Short-Term Memory for Video Action Recognition—0
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention—0
Cross and Learn: Cross-Modal Self-SupervisionCode0
BLP -- Boundary Likelihood Pinpointing Networks for Accurate Temporal Action Localization—0
Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and BeyondCode0
Leveraging Random Label Memorization for Unsupervised Pre-Training—0
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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