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 601–650 of 1477 papers

TitleStatusHype
Three-stream network for enriched Action Recognition—0
Low Pass Filter for Anti-aliasing in Temporal Action Localization—0
3D Convolutional Neural Networks for Ultrasound-Based Silent Speech Interfaces—0
Skimming and Scanning for Untrimmed Video Action Recognition—0
Event-based Timestamp Image Encoding Network for Human Action Recognition and Anticipation—0
Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization—0
Composable Augmentation Encoding for Video Representation Learning—0
Weakly Supervised Temporal Action Localization Through Learning Explicit Subspaces for Action and Context—0
Low-Fidelity End-to-End Video Encoder Pre-training for Temporal Action Localization—0
ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization—0
PcmNet: Position-Sensitive Context Modeling Network for Temporal Action Localization—0
Domain and View-point Agnostic Hand Action RecognitionCode0
Learning to Recognize Actions on Objects in Egocentric Video with Attention Dictionaries—0
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition—0
Video Action Recognition Using spatio-temporal optical flow video frames—0
GCF-Net: Gated Clip Fusion Network for Video Action Recognition—0
SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models—0
Bridging the gap between Human Action Recognition and Online Action Detection—0
Activity Graph Transformer for Temporal Action Localization—0
Human Action Recognition Based on Multi-scale Feature Maps from Depth Video Sequences—0
Video action recognition for lane-change classification and prediction of surrounding vehicles—0
Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts—0
Temporal Contrastive Graph Learning for Video Action Recognition and Retrieval—0
CAG-QIL: Context-Aware Actionness Grouping via Q Imitation Learning for Online Temporal Action Localization—0
Exploring Sub-Pseudo Labels for Learning from Weakly-Labeled Web Videos—0
Divide and Conquer for Single-Frame Temporal Action Localization—0
Geometric Deep Neural Network Using Rigid and Non-Rigid Transformations for Human Action Recognition—0
Faster and Accurate Compressed Video Action Recognition Straight from the Frequency Domain—0
Human Action Recognition from Various Data Modalities: A Review—0
Weakly-Supervised Action Localization and Action Recognition using Global-Local Attention of 3D CNN—0
Point-Level Temporal Action Localization: Bridging Fully-supervised Proposals to Weakly-supervised Losses—0
GTA: Global Temporal Attention for Video Action Understanding—0
D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised ActivationsCode0
A New Action Recognition Framework for Video Highlights Summarization in Sporting Events—0
Annotation-Efficient Untrimmed Video Action Recognition—0
Real-time Spatio-temporal Action Localization via Learning Motion Representation—0
Group-Skeleton-Based Human Action Recognition in Complex Events—0
A3D: Adaptive 3D Networks for Video Action Recognition—0
JOLO-GCN: Mining Joint-Centered Light-Weight Information for Skeleton-Based Action Recognition—0
Progressive Spatio-Temporal Graph Convolutional Network for Skeleton-Based Human Action Recognition—0
CNN based Multistage Gated Average Fusion (MGAF) for Human Action Recognition Using Depth and Inertial SensorsCode0
ElderSim: A Synthetic Data Generation Platform for Human Action Recognition in Eldercare Applications—0
Temporal Attention-Augmented Graph Convolutional Network for Efficient Skeleton-Based Human Action Recognition—0
Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization—0
Unsupervised Domain Adaptation for Spatio-Temporal Action Localization—0
A Grid-based Representation for Human Action Recognition—0
Pose And Joint-Aware Action RecognitionCode0
Reconfigurable Cyber-Physical System for Lifestyle Video-Monitoring via Deep Learning—0
A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition—0
Features Understanding in 3D CNNs for Actions Recognition in VideoCode0
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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