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
BABEL: Bodies, Action and Behavior with English LabelsCode1
Fast Fourier ConvolutionCode1
Few-Shot Temporal Action Localization with Query Adaptive TransformerCode1
FineAction: A Fine-Grained Video Dataset for Temporal Action LocalizationCode1
Foreground-Action Consistency Network for Weakly Supervised Temporal Action LocalizationCode1
Generative Model-based Feature Knowledge Distillation for Action RecognitionCode1
G-TAD: Sub-Graph Localization for Temporal Action DetectionCode1
Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed GradientCode1
Complex Sequential Understanding through the Awareness of Spatial and Temporal ConceptsCode1
Improved Residual Networks for Image and Video RecognitionCode1
Infrared and 3D skeleton feature fusion for RGB-D action recognitionCode1
InHARD - Industrial Human Action Recognition Dataset in the Context of Industrial Collaborative RoboticsCode1
Background Suppression Network for Weakly-supervised Temporal Action LocalizationCode1
Background-Click Supervision for Temporal Action LocalizationCode1
Weakly-supervised Temporal Action Localization by Uncertainty ModelingCode1
Keeping Your Eye on the Ball: Trajectory Attention in Video TransformersCode1
Learning Salient Boundary Feature for Anchor-free Temporal Action LocalizationCode1
Learning Self-Similarity in Space and Time as Generalized Motion for Video Action RecognitionCode1
BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal GenerationCode1
Lifelong Graph LearningCode1
BasicTAD: an Astounding RGB-Only Baseline for Temporal Action DetectionCode1
M2A: Motion Aware Attention for Accurate Video Action RecognitionCode1
ActionSwitch: Class-agnostic Detection of Simultaneous Actions in Streaming VideosCode1
MGSampler: An Explainable Sampling Strategy for Video Action RecognitionCode1
A Comprehensive Study of Deep Video Action RecognitionCode1
Action Transformer: A Self-Attention Model for Short-Time Pose-Based Human Action RecognitionCode1
ActionCLIP: A New Paradigm for Video Action RecognitionCode1
Multimodal Clustering Networks for Self-supervised Learning from Unlabeled VideosCode1
Multi-view Action Recognition using Cross-view Video PredictionCode1
MVFNet: Multi-View Fusion Network for Efficient Video RecognitionCode1
A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action LocalizationCode1
No frame left behind: Full Video Action RecognitionCode1
AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual ActionsCode1
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D NetworksCode1
Open-Vocabulary Action Localization with Iterative Visual PromptingCode1
ST-Adapter: Parameter-Efficient Image-to-Video Transfer LearningCode1
POCO: 3D Pose and Shape Estimation with ConfidenceCode1
PointTAD: Multi-Label Temporal Action Detection with Learnable Query PointsCode1
Probabilistic Vision-Language Representation for Weakly Supervised Temporal Action LocalizationCode1
Proposal-Based Multiple Instance Learning for Weakly-Supervised Temporal Action LocalizationCode1
Compressing Recurrent Neural Networks with Tensor Ring for Action RecognitionCode1
Boosting Weakly-Supervised Temporal Action Localization with Text InformationCode1
ResFormer: Scaling ViTs with Multi-Resolution TrainingCode1
Revisiting Anchor Mechanisms for Temporal Action LocalizationCode1
Riemannian Multinomial Logistics Regression for SPD Neural NetworksCode1
Augmented Neural Fine-Tuning for Efficient Backdoor PurificationCode1
Project RISE: Recognizing Industrial Smoke EmissionsCode1
RubiksNet: Learnable 3D-Shift for Efficient Video Action RecognitionCode1
Actor-Context-Actor Relation Network for Spatio-Temporal Action LocalizationCode1
DirecFormer: A Directed Attention in Transformer Approach to Robust 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