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 1301–1350 of 1477 papers

TitleStatusHype
A^2-Nets: Double Attention NetworksCode0
Let's Dance: Learning From Online Dance VideosCode0
Recognizing Involuntary Actions from 3D Skeleton Data Using Body StatesCode0
Unsupervised Feature Learning of Human Actions as Trajectories in Pose Embedding ManifoldCode0
Analysis of Hand Segmentation in the WildCode0
Analysis and Evaluation of Kinect-based Action Recognition AlgorithmsCode0
Handwashing Action Detection System for an Autonomous Social RobotCode0
Unsupervised Human Action Recognition with Skeletal Graph Laplacian and Self-Supervised Viewpoints InvarianceCode0
A Multi-viewpoint Outdoor Dataset for Human Action RecognitionCode0
HACS: Human Action Clips and Segments Dataset for Recognition and Temporal LocalizationCode0
Growing a Brain with Sparsity-Inducing Generation for Continual LearningCode0
Deja Vu: Motion Prediction in Static ImagesCode0
RefineLoc: Iterative Refinement for Weakly-Supervised Action LocalizationCode0
Action Search: Spotting Actions in Videos and Its Application to Temporal Action LocalizationCode0
Unsupervised Learning of View-invariant Action RepresentationsCode0
Compressed Video Action RecognitionCode0
Towards a geometric understanding of Spatio Temporal Graph Convolution NetworksCode0
Graph Convolutional Networks for Temporal Action LocalizationCode0
Action Recognition with Trajectory-Pooled Deep-Convolutional DescriptorsCode0
DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving VideosCode0
Long-term Temporal Convolutions for Action RecognitionCode0
Unsupervised Representation Learning by Sorting SequencesCode0
ReLER@ZJU Submission to the Ego4D Moment Queries Challenge 2022Code0
EV-Action: Electromyography-Vision Multi-Modal Action DatasetCode0
Representation Flow for Action RecognitionCode0
SoccerDB: A Large-Scale Database for Comprehensive Video UnderstandingCode0
Spatio-Temporal Naive-Bayes Nearest-Neighbor (ST-NBNN) for Skeleton-Based Action RecognitionCode0
Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie StimuliCode0
AENet: Learning Deep Audio Features for Video AnalysisCode0
Visual Self-paced Iterative Learning for Unsupervised Temporal Action LocalizationCode0
Completeness Modeling and Context Separation for Weakly Supervised Temporal Action LocalizationCode0
LSTA: Long Short-Term Attention for Egocentric Action RecognitionCode0
Graph-Based Global Reasoning NetworksCode0
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image RepresentationsCode0
SpATr: MoCap 3D Human Action Recognition based on Spiral Auto-encoder and Transformer NetworkCode0
Collaborative Spatiotemporal Feature Learning for Video Action RecognitionCode0
Adversarial Augmentation Training Makes Action Recognition Models More Robust to Realistic Video Distribution ShiftsCode0
Review of Action Recognition and Detection MethodsCode0
DeepGRU: Deep Gesture Recognition UtilityCode0
DeepConvContext: A Multi-Scale Approach to Timeseries Classification in Human Activity RecognitionCode0
Revisiting hand-crafted feature for action recognition: a set of improved dense trajectoriesCode0
MARS: Motion-Augmented RGB Stream for Action RecognitionCode0
Mask and Compress: Efficient Skeleton-based Action Recognition in Continual LearningCode0
Glimpse Clouds: Human Activity Recognition from Unstructured Feature PointsCode0
Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-TrainingCode0
Advancing Compressed Video Action Recognition through Progressive Knowledge DistillationCode0
UntrimmedNets for Weakly Supervised Action Recognition and DetectionCode0
Memory Attention Networks for Skeleton-based Action RecognitionCode0
Video action detection by learning graph-based spatio-temporal interactionsCode0
MetaVD: A Meta Video Dataset for enhancing human action recognition datasetsCode0
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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