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 751–800 of 1477 papers

TitleStatusHype
Learning Spatio-Temporal Representation with Local and Global DiffusionCode0
Mining YouTube - A dataset for learning fine-grained action concepts from webly supervised video dataCode0
Action4D: Online Action Recognition in the Crowd and Clutter—0
Self-Supervised Spatiotemporal Learning via Video Clip Order Prediction—0
Completeness Modeling and Context Separation for Weakly Supervised Temporal Action LocalizationCode0
Progressive Teacher-Student Learning for Early Action Prediction—0
MFAS: Multimodal Fusion Architecture SearchCode0
Bayesian Hierarchical Dynamic Model for Human Action RecognitionCode0
PA3D: Pose-Action 3D Machine for Video Recognition—0
MARS: Motion-Augmented RGB Stream for Action RecognitionCode0
Skeleton-Based Action Recognition With Directed Graph Neural NetworksCode0
Collaborative Spatiotemporal Feature Learning for Video Action RecognitionCode0
Cross Domain Model Compression by Structurally Weight Sharing—0
Rethinking Full Connectivity in Recurrent Neural Networks—0
What Makes Training Multi-Modal Classification Networks Hard?Code0
Hierarchical Feature Aggregation Networks for Video Action Recognition—0
Improving Action Localization by Progressive Cross-stream Cooperation—0
Exploring Feature Representation and Training strategies in Temporal Action Localization—0
What Would You Expect? Anticipating Egocentric Actions with Rolling-Unrolling LSTMs and Modality AttentionCode1
Marginalized Average Attentional Network for Weakly-Supervised Learning—0
Lightweight Network Architecture for Real-Time Action RecognitionCode1
Representation Learning on Visual-Symbolic Graphs for Video Understanding—0
Richly Activated Graph Convolutional Network for Action Recognition with Incomplete SkeletonsCode0
Towards a Skeleton-Based Action Recognition For Realistic Scenarios—0
NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity UnderstandingCode1
Spatio-Temporal Action Localization in a Weakly Supervised Setting—0
Large-scale weakly-supervised pre-training for video action recognitionCode0
Egocentric Hand Track and Object-based Human Action Recognition—0
Human Action Recognition with Deep Temporal Pyramids—0
Where and when to look? Spatial-temporal attention for action recognition in videos—0
Unseen Action Recognition with Unpaired Adversarial Multimodal Learning—0
Human Action Recognition Based on Spatial-Temporal Attention—0
Cross-Modal Message Passing for Two-stream Fusion—0
Curvature: A signature for Action Recognition in Video Sequences—0
Memory-Augmented Temporal Dynamic Learning for Action Recognition—0
Actional-Structural Graph Convolutional Networks for Skeleton-based Action RecognitionCode0
Large Scale Holistic Video UnderstandingCode1
DynamoNet: Dynamic Action and Motion Network—0
A Large-scale Varying-view RGB-D Action Dataset for Arbitrary-view Human Action Recognition—0
HAUAR: Home Automation Using Action Recognition—0
EV-Action: Electromyography-Vision Multi-Modal Action DatasetCode0
Temporal Unet: Sample Level Human Action Recognition using WiFiCode0
Simple yet efficient real-time pose-based action recognitionCode0
DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition—0
Out-of-Distribution Detection for Generalized Zero-Shot Action RecognitionCode0
Audio-Visual Model Distillation Using Acoustic ImagesCode0
Weakly Supervised Gaussian Networks for Action Detection—0
Decoupling Localization and Classification in Single Shot Temporal Action DetectionCode0
REPAIR: Removing Representation Bias by Dataset ResamplingCode0
Multi-View Region Adaptive Multi-temporal DMM and RGB 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