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 801–850 of 1477 papers

TitleStatusHype
Attentive Action and Context Factorization—0
Localized Trajectories for 2D and 3D Action Recognition—0
Action Recognition from Single Timestamp Supervision in Untrimmed VideosCode0
Knowledge Distillation for Human Action Anticipation—0
What and How Well You Performed? A Multitask Learning Approach to Action Quality AssessmentCode1
SCSampler: Sampling Salient Clips from Video for Efficient Action Recognition—0
LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks—0
End-to-End Video Captioning—0
Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action RecognitionCode0
RefineLoc: Iterative Refinement for Weakly-Supervised Action LocalizationCode0
On the Importance of Video Action Recognition for Visual Lipreading—0
Spatiotemporal Filtering for Event-Based Action Recognition—0
MFAS: Multimodal Fusion Architecture Search—0
Two-Stream Action Recognition-Oriented Video Super-ResolutionCode0
A Hybrid Framework for Action Recognition in Low-Quality Video Sequences—0
Investigation on Combining 3D Convolution of Image Data and Optical Flow to Generate Temporal Action Proposals—0
Spatiotemporal Pyramid Network for Video Action Recognition—0
Collaborative Spatio-temporal Feature Learning for Video Action RecognitionCode0
Progress Regression RNN for Online Spatial-Temporal Action Localization in Unconstrained Videos—0
Beyond the Self: Using Grounded Affordances to Interpret and Describe Others' ActionsCode0
IF-TTN: Information Fused Temporal Transformation Network for Video Action Recognition—0
STAR-Net: Action Recognition using Spatio-Temporal Activation Reprojection—0
Privacy-Preserving Action Recognition using Coded Aperture Videos—0
An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition—0
Learning Transferable Self-attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision—0
Dynamic Matrix Decomposition for Action Recognition—0
Evaluating the Effectiveness of Automated Identity Masking (AIM) Methods with Human Perception and a Deep Convolutional Neural Network (CNN)—0
Exploring Frame Segmentation Networks for Temporal Action Localization—0
Spatio-temporal Action Recognition: A Survey—0
DistInit: Learning Video Representations Without a Single Labeled Video—0
ODN: Opening the Deep Network for Open-set Action Recognition—0
Skeleton-based Action Recognition of People Handling Objects—0
Semantic Image Networks for Human Action Recognition—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
TAN: Temporal Aggregation Network for Dense Multi-label Action Recognition—0
Action Machine: Rethinking Action Recognition in Trimmed Videos—0
AU R-CNN: Encoding Expert Prior Knowledge into R-CNN for Action Unit DetectionCode0
Dynamic Graph Modules for Modeling Object-Object Interactions in Activity Recognition—0
Nrityantar: Pose oblivious Indian classical dance sequence classification system—0
Loss Guided Activation for Action Recognition in Still Images—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