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

Showing 11511200 of 1477 papers

TitleStatusHype
Skeleton based action recognition using translation-scale invariant image mapping and multi-scale deep cnn0
Temporal Action Localization by Structured Maximal Sums0
Interpretable 3D Human Action Analysis with Temporal Convolutional NetworksCode0
Learning to Estimate Pose by Watching VideosCode0
UC Merced Submission to the ActivityNet Challenge 20160
Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks0
First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose AnnotationsCode0
Generalized Rank Pooling for Activity Recognition0
Action Representation Using Classifier Decision Boundaries0
Two Stream LSTM: A Deep Fusion Framework for Human Action Recognition0
Unsupervised Action Proposal Ranking through Proposal Recombination0
Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and DetectionCode0
TS-LSTM and Temporal-Inception: Exploiting Spatiotemporal Dynamics for Activity RecognitionCode0
Pose-conditioned Spatio-Temporal Attention for Human Action Recognition0
Learning and Refining of Privileged Information-based RNNs for Action Recognition from Depth Sequences0
Locality preserving projection on SPD matrix Lie group: algorithm and analysis0
View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton DataCode0
A Bag-of-Words Equivalent Recurrent Neural Network for Action RecognitionCode0
Two-Stream RNN/CNN for Action Recognition in 3D Videos0
PKU-MMD: A Large Scale Benchmark for Continuous Multi-Modal Human Action Understanding0
TURN TAP: Temporal Unit Regression Network for Temporal Action ProposalsCode0
Improving Interpretability of Deep Neural Networks with Semantic Information0
UntrimmedNets for Weakly Supervised Action Recognition and DetectionCode0
A New Representation of Skeleton Sequences for 3D Action Recognition0
A Pursuit of Temporal Accuracy in General Activity DetectionCode0
CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed VideosCode0
Scene Flow to Action Map: A New Representation for RGB-D based Action Recognition with Convolutional Neural Networks0
Evolution-Preserving Dense Trajectory Descriptors0
Joint Discovery of Object States and Manipulation ActionsCode0
Robust features for facial action recognition0
Deep Local Video Feature for Action Recognition0
Higher-order Pooling of CNN Features via Kernel Linearization for Action Recognition0
Action Recognition: From Static Datasets to Moving Robots0
Learning Linear Dynamical Systems with High-Order Tensor Data for Skeleton based Action Recognition0
Ordered Pooling of Optical Flow Sequences for Action Recognition0
AENet: Learning Deep Audio Features for Video AnalysisCode0
Action Recognition Based on Joint Trajectory Maps with Convolutional Neural Networks0
Human Action Attribute Learning From Video Data Using Low-Rank Representations0
Efficient Action Detection in Untrimmed Videos via Multi-Task Learning0
Dynamic Action Recognition: A convolutional neural network model for temporally organized joint location data0
Deep Motion Features for Visual Tracking0
Asynchronous Temporal Fields for Action RecognitionCode0
Deep Learning on Lie Groups for Skeleton-based Action Recognition0
Single Image Action Recognition using Semantic Body Part Actions0
Scale Coding Bag of Deep Features for Human Attribute and Action Recognition0
ActionFlowNet: Learning Motion Representation for Action Recognition0
Action Recognition with Dynamic Image NetworksCode0
Procedural Generation of Videos to Train Deep Action Recognition Networks0
Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs0
Deep Alternative Neural Network: Exploring Contexts as Early as Possible for Action Recognition0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AdaTAD (VideoMAEv2-giant)Avg mAP (0.3:0.7)76.9Unverified
2RDFA-S6 (InternVideo2-6B)Avg mAP (0.3:0.7)74.2Unverified
3ActionMamba(InternVideo2-6B)Avg mAP (0.3:0.7)72.72Unverified
4GCMmAP IOU@0.172.5Unverified
5AGT (Ours)mAP IOU@0.172.1Unverified
6InternVideo2-6BAvg mAP (0.3:0.7)72Unverified
7ActionFormer (InternVideo features)Avg mAP (0.3:0.7)71.58Unverified
8TriDet (VideoMAE v2-g feature)Avg mAP (0.3:0.7)70.1Unverified
9InternVideo2-1BAvg mAP (0.3:0.7)69.8Unverified
10ActionFormer (VideoMAE V2-g features)Avg mAP (0.3:0.7)69.6Unverified
#ModelMetricClaimedVerifiedStatus
1UnLoc-LmAP IOU@0.559.3Unverified
2RDFA-S6 (InternVideo2-6B)mAP42.9Unverified
3ActionMamba (InternVideo2-6B)mAP42.02Unverified
4PRN+BMN (ensemble)mAP42Unverified
5AdaTAD (VideoMAEv2-giant)mAP41.93Unverified
6InternVideo2-6BmAP41.2Unverified
7InternVideo2-1BmAP40.4Unverified
8UniMD+Sync.mAP39.83Unverified
9PRN (CSN)mAP39.4Unverified
10InternVideomAP39Unverified
#ModelMetricClaimedVerifiedStatus
1RDFA-S6 (InternVideo2-6B)Average-mAP45.8Unverified
2ActionMamba(InternVideo2-6B)Average-mAP44.56Unverified
3DyFADet(VideoMAEv2)Average-mAP44.3Unverified
4InternVideo2-6BAverage-mAP43.3Unverified
5TriDet (VideoMAEv2)Average-mAP43.1Unverified
6InternVideo2-1BAverage-mAP42.4Unverified
7InternVideoAverage-mAP41.55Unverified
8TriDet (SlowFast)Average-mAP38.6Unverified
9TriDet (I3D RGB)Average-mAP36.8Unverified
10TadTr (I3D RGB)Average-mAP32.09Unverified
#ModelMetricClaimedVerifiedStatus
1RDFA-S6 (InternVideo2-6B)mAP29.6Unverified
2ActionMamba(InternVideo2-6B)mAP29.04Unverified
3InternVideo2-6BmAP27.7Unverified
4DyFADet (VideoMAE v2-g)mAP23.8Unverified
5VideoMAE V2-gmAP18.24Unverified
6InternVideomAP17.57Unverified
7BMN (i3d feaure)mAP9.25Unverified
8G-TAD (i3d feature)mAP9.06Unverified
9DBG (i3d feature)mAP6.75Unverified
#ModelMetricClaimedVerifiedStatus
1TriDet (VideoMAEv2)Average mAP37.5Unverified
2DualDETR (I3D-rgb)Average mAP32.64Unverified
3TriDet (I3D-rgb)Average mAP30.7Unverified
4TemporalMaxerAverage mAP29.9Unverified
5PointTADAverage mAP23.5Unverified
6PDANAverage mAP17.3Unverified
7MS-TCTAverage mAP16.2Unverified
8MLADAverage mAP14.2Unverified
#ModelMetricClaimedVerifiedStatus
1VideoCLIPRecall47.3Unverified
2VLMRecall46.5Unverified
3TACoRecall42.5Unverified
4Text-Video EmbeddingRecall33.6Unverified
5Fully-supervised upper-boundRecall31.6Unverified
6ZhukovRecall22.4Unverified
7AlayracRecall13.3Unverified
#ModelMetricClaimedVerifiedStatus
1AdaTAD (verb, VideoMAE-L)Avg mAP (0.1-0.5)29.3Unverified
2TriDet (verb)Avg mAP (0.1-0.5)25.4Unverified
3TemporalMaxer (verb)Avg mAP (0.1-0.5)24.5Unverified
4ActionFormer (verb)Avg mAP (0.1-0.5)23.5Unverified
5G-TAD (verb)Avg mAP (0.1-0.5)9.4Unverified
6BMN (verb)Avg mAP (0.1-0.5)8.4Unverified
#ModelMetricClaimedVerifiedStatus
1TemporalMaxermAP27.2Unverified
2MUSESmAP18.6Unverified
#ModelMetricClaimedVerifiedStatus
1DeepMetricLearnermAP IOU@0.535.2Unverified
#ModelMetricClaimedVerifiedStatus
1ActionFormer (SlowFast+Omnivore+EgoVLP)Average mAP21.76Unverified
#ModelMetricClaimedVerifiedStatus
1ActionFormer (SlowFast+Omnivore+EgoVLP)Average mAP21.4Unverified
#ModelMetricClaimedVerifiedStatus
1S-CNNmAP7.4Unverified