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 151–200 of 1477 papers

TitleStatusHype
Convex Combination Consistency between Neighbors for Weakly-supervised Action LocalizationCode1
CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive LearningCode1
HAT: History-Augmented Anchor Transformer for Online Temporal Action LocalizationCode1
Learning Sparse 2D Temporal Adjacent Networks for Temporal Action LocalizationCode1
Compressing Recurrent Neural Networks with Tensor Ring for Action RecognitionCode1
Lightweight Network Architecture for Real-Time Action RecognitionCode1
M2A: Motion Aware Attention for Accurate Video Action RecognitionCode1
Bottom-Up Temporal Action Localization with Mutual RegularizationCode1
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical AggregationCode1
CZU-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and 10 wearable inertial sensorsCode1
Multi-dataset Training of Transformers for Robust Action RecognitionCode1
Multimodal Clustering Networks for Self-supervised Learning from Unlabeled VideosCode1
Cross-modal Consensus Network forWeakly Supervised Temporal Action LocalizationCode1
Cross-modal Consensus Network for Weakly Supervised Temporal Action LocalizationCode1
AutoVideo: An Automated Video Action Recognition SystemCode1
Neural Koopman Pooling: Control-Inspired Temporal Dynamics Encoding for Skeleton-Based Action RecognitionCode1
Background-Click Supervision for Temporal Action LocalizationCode1
Continual Spatio-Temporal Graph Convolutional NetworksCode1
On the spatial attention in Spatio-Temporal Graph Convolutional Networks for skeleton-based human action recognitionCode1
DCAN: Improving Temporal Action Detection via Dual Context AggregationCode1
ST-Adapter: Parameter-Efficient Image-to-Video Transfer LearningCode1
Decoupled Spatial-Temporal Attention Network for Skeleton-Based Action RecognitionCode1
A Comprehensive Study of Deep Video Action RecognitionCode1
Deep Analysis of CNN-based Spatio-temporal Representations for Action RecognitionCode1
ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action LocalizationCode1
Action Transformer: A Self-Attention Model for Short-Time Pose-Based Human Action RecognitionCode1
ActionCLIP: A New Paradigm for Video Action RecognitionCode1
DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 PandemicCode1
Depth Guided Adaptive Meta-Fusion Network for Few-shot Video RecognitionCode1
Re^2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action LocalizationCode1
Realigning Confidence with Temporal Saliency Information for Point-Level Weakly-Supervised Temporal Action LocalizationCode1
DEVIAS: Learning Disentangled Video Representations of Action and SceneCode1
A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action LocalizationCode1
DirecFormer: A Directed Attention in Transformer Approach to Robust Action RecognitionCode1
Revisiting Anchor Mechanisms for Temporal Action LocalizationCode1
Revisiting Foreground and Background Separation in Weakly-supervised Temporal Action Localization: A Clustering-based ApproachCode1
DyFADet: Dynamic Feature Aggregation for Temporal Action DetectionCode1
Multi-Temporal Convolutions for Human Action Recognition in VideosCode1
E^2TAD: An Energy-Efficient Tracking-based Action DetectorCode1
RubiksNet: Learnable 3D-Shift for Efficient Video Action RecognitionCode1
AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual ActionsCode1
BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal GenerationCode1
SimOn: A Simple Framework for Online Temporal Action LocalizationCode1
Skeleton-based Action Recognition with Convolutional Neural NetworksCode1
Enriching Local and Global Contexts for Temporal Action LocalizationCode1
Augmented Neural Fine-Tuning for Efficient Backdoor PurificationCode1
Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action RecognitionCode1
Spatiotemporal Multiplier Networks for Video Action RecognitionCode1
Hear Me Out: Fusional Approaches for Audio Augmented Temporal Action LocalizationCode1
Infrared and 3D skeleton feature fusion for RGB-D action recognitionCode1
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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