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 451–500 of 1477 papers

TitleStatusHype
Graph-Based Global Reasoning NetworksCode0
Generalized Uncertainty-Based Evidential Fusion with Hybrid Multi-Head Attention for Weak-Supervised Temporal Action LocalizationCode0
Beyond the Self: Using Grounded Affordances to Interpret and Describe Others' ActionsCode0
Improving Transfer Learning with a Dual Image and Video Transformer for Multi-label Movie Trailer Genre ClassificationCode0
Gate-Shift-Fuse for Video Action RecognitionCode0
From Single-Visit to Multi-Visit Image-Based Models: Single-Visit Models are Enough to Predict Obstructive HydronephrosisCode0
TS-RGBD Dataset: a Novel Dataset for Theatre Scenes Description for People with Visual ImpairmentsCode0
TURN TAP: Temporal Unit Regression Network for Temporal Action ProposalsCode0
3D Pose from Motion for Cross-view Action Recognition via Non-linear Circulant Temporal EncodingCode0
Elevating Skeleton-Based Action Recognition with Efficient Multi-Modality Self-SupervisionCode0
UAV-GESTURE: A Dataset for UAV Control and Gesture RecognitionCode0
UCF101: A Dataset of 101 Human Actions Classes From Videos in The WildCode0
Full-Stage Pseudo Label Quality Enhancement for Weakly-supervised Temporal Action LocalizationCode0
Glimpse Clouds: Human Activity Recognition from Unstructured Feature PointsCode0
HACS: Human Action Clips and Segments Dataset for Recognition and Temporal LocalizationCode0
Class Feature Pyramids for Video ExplanationCode0
End-to-end Video-level Representation Learning for Action RecognitionCode0
Advancing Compressed Video Action Recognition through Progressive Knowledge DistillationCode0
FLAG3D: A 3D Fitness Activity Dataset with Language InstructionCode0
Action Recognition from Single Timestamp Supervision in Untrimmed VideosCode0
Fisherposes for Human Action Recognition Using Kinect Sensor DataCode0
Ensemble Deep Learning for Skeleton-Based Action Recognition Using Temporal Sliding LSTM NetworksCode0
Boosting Positive Segments for Weakly-Supervised Audio-Visual Video ParsingCode0
Unsupervised Representation Learning by Sorting SequencesCode0
FMI-TAL: Few-shot Multiple Instances Temporal Action Localization by Probability Distribution Learning and Interval Cluster RefinementCode0
Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and DetectionCode0
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
Action Recognition for Depth Video using Multi-view Dynamic ImagesCode0
Features Understanding in 3D CNNs for Actions Recognition in VideoCode0
Expressive Keypoints for Skeleton-based Action Recognition via Skeleton TransformationCode0
REPAIR: Removing Representation Bias by Dataset ResamplingCode0
Faster Learning of Temporal Action Proposal via Sparse Multilevel Boundary GeneratorCode0
FPGA-QHAR: Throughput-Optimized for Quantized Human Action Recognition on The EdgeCode0
Human Action Recognition by Representing 3D Skeletons as Points in a Lie GroupCode0
Ridiculously Fast Shot Boundary Detection with Fully Convolutional Neural NetworksCode0
Excitation Backprop for RNNsCode0
AENet: Learning Deep Audio Features for Video AnalysisCode0
Can Humans Fly? Action Understanding With Multiple Classes of Actors—0
CAMREP- Concordia Action and Motion Repository—0
A Hierarchical Pose-Based Approach to Complex Action Understanding Using Dictionaries of Actionlets and Motion Poselets—0
CAG-QIL: Context-Aware Actionness Grouping via Q Imitation Learning for Online Temporal Action Localization—0
A Grid-based Representation for Human Action Recognition—0
Action recognition by learning pose representations—0
Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition—0
Exploring Frame Segmentation Networks for Temporal Action Localization—0
Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach—0
A Generative Restricted Boltzmann Machine Based Method for High-Dimensional Motion Data Modeling—0
Exploring Feature Representation and Training strategies in Temporal Action Localization—0
Exploring Explainability in Video Action Recognition—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