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 1401–1450 of 1477 papers

TitleStatusHype
Multilevel semantic and adaptive actionness learning for weakly supervised temporal action localizationCode0
Multimodal Attack Detection for Action Recognition ModelsCode0
FLAG3D: A 3D Fitness Activity Dataset with Language InstructionCode0
Cross-modal Learning by Hallucinating Missing Modalities in RGB-D VisionCode0
Synthetic Humans for Action Recognition from Unseen ViewpointsCode0
Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and DetectionCode0
Multimodal Task-Driven Dictionary Learning for Image ClassificationCode0
Selective Volume Mixup for Video Action RecognitionCode0
Multimodal Visual Concept Learning with Weakly Supervised TechniquesCode0
Actor and Observer: Joint Modeling of First and Third-Person VideosCode0
ACGNet: Action Complement Graph Network for Weakly-supervised Temporal Action LocalizationCode0
Cross-Modal and Hierarchical Modeling of Video and TextCode0
Fisherposes for Human Action Recognition Using Kinect Sensor DataCode0
TAda! Temporally-Adaptive Convolutions for Video UnderstandingCode0
TadML: A fast temporal action detection with Mechanics-MLPCode0
Talk is Not Always Cheap: Promoting Wireless Sensing Models with Text PromptsCode0
Cross and Learn: Cross-Modal Self-SupervisionCode0
First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose AnnotationsCode0
CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed VideosCode0
Features Understanding in 3D CNNs for Actions Recognition in VideoCode0
TS-LSTM and Temporal-Inception: Exploiting Spatiotemporal Dynamics for Activity RecognitionCode0
Targeted Nonlinear Adversarial Perturbations in Images and VideosCode0
ActivityNet: A Large-Scale Video Benchmark for Human Activity UnderstandingCode0
Boosting Positive Segments for Weakly-Supervised Audio-Visual Video ParsingCode0
TEAM-Net: Multi-modal Learning for Video Action Recognition with Partial DecodingCode0
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained WarpingCode0
Temporal Action Detection Using a Statistical Language ModelCode0
Faster Learning of Temporal Action Proposal via Sparse Multilevel Boundary GeneratorCode0
Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action RecognitionCode0
Beyond the Self: Using Grounded Affordances to Interpret and Describe Others' ActionsCode0
Expressive Keypoints for Skeleton-based Action Recognition via Skeleton TransformationCode0
TS-RGBD Dataset: a Novel Dataset for Theatre Scenes Description for People with Visual ImpairmentsCode0
NEV-NCD: Negative Learning, Entropy, and Variance regularization based novel action categories discoveryCode0
Explaining NonLinear Classification Decisions with Deep Taylor DecompositionCode0
Excitation Backprop for RNNsCode0
Bayesian Hierarchical Dynamic Model for Human Action RecognitionCode0
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action RecognitionCode0
Temporal Action Localization in Untrimmed Videos via Multi-stage CNNsCode0
Every Moment Counts: Dense Detailed Labeling of Actions in Complex VideosCode0
Temporal Action Localization Using Gated Recurrent UnitsCode0
When Did It Happen? Duration-informed Temporal Localization of Narrated Actions in VlogsCode0
OccludeNet: A Causal Journey into Mixed-View Actor-Centric Video Action Recognition under OcclusionsCode0
Counterfactual Gradients-based Quantification of Prediction Trust in Neural NetworksCode0
Convolutional Two-Stream Network Fusion for Video Action RecognitionCode0
Shifting Perspective to See Difference: A Novel Multi-View Method for Skeleton based Action RecognitionCode0
A Variational Time Series Feature Extractor for Action PredictionCode0
Online Action Recognition for Human Risk Prediction with Anticipated Haptic Alert via WearablesCode0
Online Human Action Detection using Joint Classification-Regression Recurrent Neural NetworksCode0
EVA: Exploring the Limits of Masked Visual Representation Learning at ScaleCode0
On Modality Bias Recognition and ReductionCode0
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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