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 351–400 of 1477 papers

TitleStatusHype
Emotion-Based Crowd Representation for Abnormality Detection—0
A Simple and Efficient Baseline for Video Action Recognition—0
Enhancing Human Action Recognition and Violence Detection Through Deep Learning Audiovisual Fusion—0
DAVE: Diverse Atomic Visual Elements Dataset with High Representation of Vulnerable Road Users in Complex and Unpredictable Environments—0
Efficient Action Detection in Untrimmed Videos via Multi-Task Learning—0
Deep Alternative Neural Network: Exploring Contexts as Early as Possible for Action Recognition—0
Action Class Relation Detection and Classification Across Multiple Video Datasets—0
Deep Bilinear Learning for RGB-D Action Recognition—0
A Survey on Backbones for Deep Video Action Recognition—0
Deep Convolutional Neural Networks for Action Recognition Using Depth Map Sequences—0
Deep Discriminative Model for Video Classification—0
DEEPEYE: A Compact and Accurate Video Comprehension at Terminal Devices Compressed with Quantization and Tensorization—0
A Survey on Multimodal Wearable Sensor-based Human Action Recognition—0
Deep Learning Approaches for Human Action Recognition in Video Data—0
Deep Learning Computer Vision Algorithms for Real-time UAVs On-board Camera Image Processing—0
Deep Learning on Lie Groups for Skeleton-based Action Recognition—0
ARTiS: Appearance-based Action Recognition in Task Space for Real-Time Human-Robot Collaboration—0
DeepLocalization: Using change point detection for Temporal Action Localization—0
Deep Local Video Feature for Action Recognition—0
Deep manifold-to-manifold transforming network for action recognition—0
Deep Motion Features for Visual Tracking—0
Deep Motion Prior for Weakly-Supervised Temporal Action Localization—0
Deep Multimodal Feature Analysis for Action Recognition in RGB+D Videos—0
Deep Neural Networks in Video Human Action Recognition: A Review—0
Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition—0
Deep Quantization: Encoding Convolutional Activations with Deep Generative Model—0
Attention-based Temporal Weighted Convolutional Neural Network for Action Recognition—0
ActionFlowNet: Learning Motion Representation for Action Recognition—0
Deep Sequential Context Networks for Action Prediction—0
Deep set conditioned latent representations for action recognition—0
Cutup and Detect: Human Fall Detection on Cutup Untrimmed Videos Using a Large Foundational Video Understanding Model—0
Deep Spatio-temporal Manifold Network for Action Recognition—0
A robust and efficient video representation for action recognition—0
EA-VTR: Event-Aware Video-Text Retrieval—0
Efficient Action Localization with Approximately Normalized Fisher Vectors—0
Delving Into Egocentric Actions—0
Density-Guided Label Smoothing for Temporal Localization of Driving Actions—0
Depth2Action: Exploring Embedded Depth for Large-Scale Action Recognition—0
Depth and Skeleton Associated Action Recognition without Online Accessible RGB-D Cameras—0
Curvature: A signature for Action Recognition in Video Sequences—0
A Review on Coarse to Fine-Grained Animal Action Recognition—0
Depthwise Spatio-Temporal STFT Convolutional Neural Networks for Human Action Recognition—0
Action Spotting and Precise Event Detection in Sports: Datasets, Methods, and Challenges—0
Describing Video Contents in Natural Language—0
Cross-View Action Recognition via a Continuous Virtual Path—0
Detection of Manipulation Action Consequences (MAC)—0
Detekcja upadku i wybranych akcji na sekwencjach obrazów cyfrowych—0
Cross-view Action Modeling, Learning and Recognition—0
A real-time algorithm for human action recognition in RGB and thermal video—0
Dynamic Probabilistic Network Based Human 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