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 201–250 of 1477 papers

TitleStatusHype
Towards High Resolution Video Generation with Progressive Growing of Sliced Wasserstein GANsCode1
AutoVideo: An Automated Video Action Recognition SystemCode1
AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual ActionsCode1
TSGCNeXt: Dynamic-Static Multi-Graph Convolution for Efficient Skeleton-Based Action Recognition with Long-term Learning PotentialCode1
CBR-Net: Cascade Boundary Refinement Network for Action Detection: Submission to ActivityNet Challenge 2020 (Task 1)Code1
M2A: Motion Aware Attention for Accurate Video Action RecognitionCode1
Multi-view Action Recognition using Cross-view Video PredictionCode1
B2C-AFM: Bi-Directional Co-Temporal and Cross-Spatial Attention Fusion Model for Human Action RecognitionCode1
BABEL: Bodies, Action and Behavior with English LabelsCode1
Grad-CAM++: Improved Visual Explanations for Deep Convolutional NetworksCode1
Background-Click Supervision for Temporal Action LocalizationCode1
Weakly-supervised Temporal Action Localization by Uncertainty ModelingCode1
Realigning Confidence with Temporal Saliency Information for Point-Level Weakly-Supervised Temporal Action LocalizationCode1
G-TAD: Sub-Graph Localization for Temporal Action DetectionCode1
Actionness Inconsistency-guided Contrastive Learning for Weakly-supervised Temporal Action LocalizationCode1
BasicTAD: an Astounding RGB-Only Baseline for Temporal Action DetectionCode1
Learning Spatio-Temporal Features with 3D Residual Networks for Action RecognitionCode0
Learning Spatio-Temporal Representation with Local and Global DiffusionCode0
Learning long-term dependencies for action recognition with a biologically-inspired deep networkCode0
A Comparative Review of Recent Kinect-based Action Recognition AlgorithmsCode0
Learning Temporal Co-Attention Models for Unsupervised Video Action LocalizationCode0
Learning from Video and Text via Large-Scale Discriminative ClusteringCode0
Learning from Noisy Pseudo Labels for Semi-Supervised Temporal Action LocalizationCode0
Learning Gating ConvNet for Two-Stream based Methods in Action RecognitionCode0
Large-scale weakly-supervised pre-training for video action recognitionCode0
Large-scale Robustness Analysis of Video Action Recognition ModelsCode0
Learning deep representations for video-based intake gesture detectionCode0
Learning Human Action Recognition Representations Without Real HumansCode0
Learning to Estimate Pose by Watching VideosCode0
Cross-Model Cross-Stream Learning for Self-Supervised Human Action RecognitionCode0
Boosting Positive Segments for Weakly-Supervised Audio-Visual Video ParsingCode0
Action Recognition Based on Optimal Joint Selection and Discriminative Depth DescriptorCode0
Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer VisionCode0
Joint Discovery of Object States and Manipulation ActionsCode0
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained WarpingCode0
Advancing Compressed Video Action Recognition through Progressive Knowledge DistillationCode0
Adversarial Augmentation Training Makes Action Recognition Models More Robust to Realistic Video Distribution ShiftsCode0
Investigation of Different Skeleton Features for CNN-based 3D Action RecognitionCode0
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image RepresentationsCode0
Language Model Guided Interpretable Video Action ReasoningCode0
Interpretable 3D Human Action Analysis with Temporal Convolutional NetworksCode0
Skeleton-OOD: An End-to-End Skeleton-Based Model for Robust Out-of-Distribution Human Action DetectionCode0
AENet: Learning Deep Audio Features for Video AnalysisCode0
Beyond the Self: Using Grounded Affordances to Interpret and Describe Others' ActionsCode0
I3D-LSTM: A New Model for Human Action RecognitionCode0
Are Spatial-Temporal Graph Convolution Networks for Human Action Recognition Over-Parameterized?Code0
Human activity recognition from skeleton posesCode0
Im2Flow: Motion Hallucination from Static Images for Action RecognitionCode0
KORSAL: Key-point Detection based Online Real-Time Spatio-Temporal Action LocalizationCode0
Learning To Score Olympic EventsCode0
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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