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
Learning Discriminative Motion Features Through Detection—0
Unsupervised Feature Learning of Human Actions as Trajectories in Pose Embedding ManifoldCode0
Multimodal Explanations by Predicting Counterfactuality in Videos—0
SUSiNet: See, Understand and Summarize it—0
MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language—0
Trajectory Convolution for Action Recognition—0
A^2-Nets: Double Attention NetworksCode0
Structure-Aware Convolutional Neural NetworksCode0
Graph-Based Global Reasoning NetworksCode0
Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer VisionCode0
Optimized Skeleton-based Action Recognition via Sparsified Graph Regression—0
Adversarial Attacks for Optical Flow-Based Action Recognition Classifiers—0
Unrepresentative video data: A review and evaluation—0
Self-Supervised Spatiotemporal Feature Learning via Video Rotation Prediction—0
LSTA: Long Short-Term Attention for Egocentric Action RecognitionCode0
Stacked Spatio-Temporal Graph Convolutional Networks for Action Segmentation—0
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
Compressing Recurrent Neural Networks with Tensor Ring for Action RecognitionCode1
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
Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and BeyondCode0
BLP -- Boundary Likelihood Pinpointing Networks for Accurate Temporal Action Localization—0
Leveraging Random Label Memorization for Unsupervised Pre-Training—0
StNet: Local and Global Spatial-Temporal Modeling for Action RecognitionCode0
Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition—0
DeepGRU: Deep Gesture Recognition UtilityCode0
Informed Democracy: Voting-based Novelty Detection for Action Recognition—0
Random Temporal Skipping for Multirate Video Analysis—0
ActionXPose: A Novel 2D Multi-view Pose-based Algorithm for Real-time Human Action Recognition—0
Cascaded Pyramid Mining Network for Weakly Supervised Temporal Action Localization—0
A^2-Nets: Double Attention Networks—0
Real-time Action Recognition with Dissimilarity-based Training of Specialized Module Networks—0
Cross-Modal and Hierarchical Modeling of Video and TextCode0
CSI-Net: Unified Human Body Characterization and Pose RecognitionCode0
Towards High Resolution Video Generation with Progressive Growing of Sliced Wasserstein GANsCode1
Representation Flow for Action RecognitionCode0
Interpretable Spatio-temporal Attention for Video Action Recognition—0
Rate-Accuracy Trade-Off In Video Classification With Deep Convolutional Neural NetworksCode0
Part-based Graph Convolutional Network for Action RecognitionCode0
Temporal-Spatial Mapping for Action Recognition—0
Parallel Separable 3D Convolution for Video and Volumetric Data Understanding—0
Using phase instead of optical flow for action recognitionCode0
Unsupervised Learning of View-invariant Action RepresentationsCode0
Show:102550
← PrevPage 18 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