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 901–950 of 1477 papers

TitleStatusHype
Hierarchically Learned View-Invariant Representations for Cross-View Action Recognition—0
On the Role of Event Boundaries in Egocentric Activity Recognition from Photostreams—0
Scenes-Objects-Actions: A Multi-Task, Multi-Label Video Dataset—0
RESOUND: Towards Action Recognition without Representation Bias—0
What do I Annotate Next? An Empirical Study of Active Learning for Action Localization—0
End-to-End Joint Semantic Segmentation of Actors and Actions in Video—0
Dividing and Aggregating Network for Multi-view Action Recognition—0
AutoLoc: Weakly-supervised Temporal Action Localization in Untrimmed Videos—0
In the Eye of Beholder: Joint Learning of Gaze and Actions in First Person Video—0
Neural Graph Matching Networks for Fewshot 3D Action Recognition—0
Deep Bilinear Learning for RGB-D Action Recognition—0
Activity Recognition on a Large Scale in Short Videos - Moments in Time Dataset—0
Top-down Attention Recurrent VLAD Encoding for Action Recognition in Videos—0
Targeted Nonlinear Adversarial Perturbations in Images and VideosCode0
Video Jigsaw: Unsupervised Learning of Spatiotemporal Context for Video Action Recognition—0
Temporal Sequence Distillation: Towards Few-Frame Action Recognition in Videos—0
Attributes' Importance for Zero-Shot Pose-Classification Based on Wearable Sensors—0
RGB Video Based Tennis Action Recognition Using a Deep Historical Long Short-Term Memory—0
Analyzing Human-Human Interactions: A SurveyCode0
Towards Automatic Speech Identification from Vocal Tract Shape Dynamics in Real-time MRI—0
Actor-Centric Relation Network—0
Diagnosing Error in Temporal Action DetectorsCode0
Motion Feature Network: Fixed Motion Filter for Action Recognition—0
AutoLoc: Weakly-supervised Temporal Action LocalizationCode0
Correlation Net: Spatiotemporal multimodal deep learning for action recognition—0
Deep Discriminative Model for Video Classification—0
Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot StudyCode1
Signal Alignment for Humanoid Skeletons via the Globally Optimal Reparameterization Algorithm—0
Skeletal Movement to Color Map: A Novel Representation for 3D Action Recognition with Inception Residual Networks—0
The Globally Optimal Reparameterization Algorithm: an Alternative to Fast Dynamic Time Warping for Action Recognition in Video Sequences—0
Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention—0
Adding Attentiveness to the Neurons in Recurrent Neural Networks—0
Spatio-Temporal Instance Learning: Action Tubes from Class Supervision—0
A Variational Time Series Feature Extractor for Action PredictionCode0
3D Human Action Recognition with Siamese-LSTM Based Deep Metric Learning—0
A Survey of Knowledge Representation in Service Robotics—0
Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization—0
Action Recognition for Depth Video using Multi-view Dynamic ImagesCode0
YH Technologies at ActivityNet Challenge 2018—0
A Novel Geometric Framework on Gram Matrix Trajectories for Human Behavior Understanding—0
Modeling Spatio-Temporal Human Track Structure for Action Localization—0
Human Action Recognition and Prediction: A Survey—0
Exploiting Spatial-Temporal Modelling and Multi-Modal Fusion for Human Action Recognition—0
CNN-based Action Recognition and Supervised Domain Adaptation on 3D Body Skeletons via Kernel Feature Maps—0
Learning Multimodal Representations for Unseen ActivitiesCode0
Classifying Object Manipulation Actions based on Grasp-types and Motion-Constraints—0
Modality Distillation with Multiple Stream Networks for Action RecognitionCode0
Two Stream Self-Supervised Learning for Action Recognition—0
Massively Parallel Video Networks—0
BSN: Boundary Sensitive Network for Temporal Action Proposal GenerationCode1
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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