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 501–550 of 1477 papers

TitleStatusHype
Keeping Your Eye on the Ball: Trajectory Attention in Video TransformersCode1
TSI: Temporal Saliency Integration for Video Action Recognition—0
Inertial Sensor Data To Image Encoding For Human Action Recognition—0
The Imaginative Generative Adversarial Network: Automatic Data Augmentation for Dynamic Skeleton-Based Hand Gesture and Human Action Recognition—0
SSAN: Separable Self-Attention Network for Video Representation Learning—0
Temporal Action Proposal Generation with Transformers—0
Real-time Human Action Recognition Using Locally Aggregated Kinematic-Guided Skeletonlet and Supervised Hashing-by-Analysis Model—0
FineAction: A Fine-Grained Video Dataset for Temporal Action LocalizationCode1
VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding—0
REGINA - Reasoning Graph Convolutional Networks in Human Action Recognition—0
Action in Mind: A Neural Network Approach to Action Recognition and Segmentation—0
Relevance Detection in Cataract Surgery Videos by Spatio-Temporal Action Localization—0
Action Unit Memory Network for Weakly Supervised Temporal Action Localization—0
Three-stream network for enriched Action Recognition—0
Multimodal Clustering Networks for Self-supervised Learning from Unlabeled VideosCode1
Low Pass Filter for Anti-aliasing in Temporal Action Localization—0
3D Convolutional Neural Networks for Ultrasound-Based Silent Speech Interfaces—0
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and TextCode1
Skimming and Scanning for Untrimmed Video Action Recognition—0
MGSampler: An Explainable Sampling Strategy for Video Action RecognitionCode1
Event-based Timestamp Image Encoding Network for Human Action Recognition and Anticipation—0
ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action LocalizationCode1
Self-Supervised Learning for Semi-Supervised Temporal Action ProposalCode1
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
CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive LearningCode1
No frame left behind: Full Video Action RecognitionCode1
ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization—0
Low-Fidelity End-to-End Video Encoder Pre-training for Temporal Action Localization—0
The Blessings of Unlabeled Background in Untrimmed VideosCode1
Learning Salient Boundary Feature for Anchor-free Temporal Action LocalizationCode1
Temporal Context Aggregation Network for Temporal Action Proposal RefinementCode1
MoViNets: Mobile Video Networks for Efficient Video RecognitionCode1
ACTION-Net: Multipath Excitation for Action RecognitionCode1
PcmNet: Position-Sensitive Context Modeling Network for Temporal Action Localization—0
Modeling Multi-Label Action Dependencies for Temporal Action LocalizationCode1
Domain and View-point Agnostic Hand Action RecognitionCode0
Learning to Recognize Actions on Objects in Egocentric Video with Attention Dictionaries—0
Learning Self-Similarity in Space and Time as Generalized Motion for Video Action RecognitionCode1
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
PDAN: Pyramid Dilated Attention Network for Action DetectionCode1
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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