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 1201–1250 of 1477 papers

TitleStatusHype
Co-Occurrence Matters: Learning Action Relation for Temporal Action Localization—0
Cooking in the kitchen: Recognizing and Segmenting Human Activities in Videos—0
Cooperative Cross-Stream Network for Discriminative Action Representation—0
Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization—0
Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition—0
Correlation Net: Spatiotemporal multimodal deep learning for action recognition—0
Could Giant Pretrained Image Models Extract Universal Representations?—0
Coupled Recurrent Network (CRN)—0
Cricket stroke extraction: Towards creation of a large-scale cricket actions dataset—0
Cross Domain Model Compression by Structurally Weight Sharing—0
Cross-Modal Message Passing for Two-stream Fusion—0
Cross-Stage Transformer for Video Learning—0
Cross-Video Contextual Knowledge Exploration and Exploitation for Ambiguity Reduction in Weakly Supervised Temporal Action Localization—0
Cross-view Action Modeling, Learning and Recognition—0
Cross-View Action Recognition via a Continuous Virtual Path—0
Curvature: A signature for Action Recognition in Video Sequences—0
Cutup and Detect: Human Fall Detection on Cutup Untrimmed Videos Using a Large Foundational Video Understanding Model—0
DAVE: Diverse Atomic Visual Elements Dataset with High Representation of Vulnerable Road Users in Complex and Unpredictable Environments—0
DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition—0
Deception Detection in Videos—0
Deep Action- and Context-Aware Sequence Learning for Activity Recognition and Anticipation—0
Deep Alternative Neural Network: Exploring Contexts as Early as Possible for Action Recognition—0
Deep Bilinear Learning for RGB-D 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
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
Deep Learning Techniques for Video Instance Segmentation: A Survey—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
Deep Sequential Context Networks for Action Prediction—0
Deep set conditioned latent representations for action recognition—0
Deep Spatio-temporal Manifold Network for Action Recognition—0
Deep-Temporal LSTM for Daily Living Action Recognition—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
Depth Pooling Based Large-scale 3D Action Recognition with Convolutional Neural Networks—0
Depthwise Spatio-Temporal STFT Convolutional Neural Networks for Human Action Recognition—0
Describing Video Contents in Natural Language—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