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 1051–1100 of 1477 papers

TitleStatusHype
MAiVAR-T: Multimodal Audio-image and Video Action Recognizer using Transformers—0
Making a Case for Learning Motion Representations with Phase—0
Making Convolutional Networks Recurrent for Visual Sequence Learning—0
MAMBA4D: Efficient Long-Sequence Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models—0
Manipulated Object Proposal: A Discriminative Object Extraction and Feature Fusion Framework for First-Person Daily Activity Recognition—0
Marginalized Average Attentional Network for Weakly-Supervised Learning—0
Massively Parallel Video Networks—0
Matrix Manifold Neural Networks++—0
Max-Margin Structured Output Regression for Spatio-Temporal Action Localization—0
Memory-Augmented Temporal Dynamic Learning for Action Recognition—0
Metric-Based Few-Shot Learning for Video Action Recognition—0
MFAS: Multimodal Fusion Architecture Search—0
MiCT: Mixed 3D/2D Convolutional Tube for Human Action Recognition—0
Mimetics: Towards Understanding Human Actions Out of Context—0
Minimalistic Video Saliency Prediction via Efficient Decoder & Spatio Temporal Action Cues—0
Mining 3D Key-Pose-Motifs for Action Recognition—0
Mining Mid-level Features for Action Recognition Based on Effective Skeleton Representation—0
Mix Dimension in Poincaré Geometry for 3D Skeleton-based Action Recognition—0
MLGCN: Multi-Laplacian Graph Convolutional Networks for Human Action Recognition—0
MM-ViT: Multi-Modal Video Transformer for Compressed Video Action Recognition—0
Mobile Video Action Recognition—0
Modality Compensation Network: Cross-Modal Adaptation for Action Recognition—0
MODA: Motion-Drift Augmentation for Inertial Human Motion Analysis—0
Modeling Actions through State Changes—0
Modeling Representation of Videos for Anomaly Detection using Deep Learning: A Review—0
Modeling Spatio-Temporal Human Track Structure for Action Localization—0
Modeling Sub-Event Dynamics in First-Person Action Recognition—0
Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks—0
Modeling Video Evolution for Action Recognition—0
Modelling Temporal Information Using Discrete Fourier Transform for Video Classification—0
Motion Feature Network: Fixed Motion Filter for Action Recognition—0
Motionlets: Mid-level 3D Parts for Human Motion Recognition—0
Motion Part Regularization: Improving Action Recognition via Trajectory Selection—0
Motion-Scenario Decoupling for Rat-Aware Video Position Prediction: Strategy and Benchmark—0
MS-ASL: A Large-Scale Data Set and Benchmark for Understanding American Sign Language—0
MSSTNet: A Multi-Scale Spatio-Temporal CNN-Transformer Network for Dynamic Facial Expression Recognition—0
Multi-Action Recognition via Stochastic Modelling of Optical Flow and Gradients—0
Multi-Camera Action Dataset for Cross-Camera Action Recognition Benchmarking—0
Multidomain Multimodal Fusion For Human Action Recognition Using Inertial Sensors—0
Multi-Expert Human Action Recognition with Hierarchical Super-Class Learning—0
Multi-Feature Max-Margin Hierarchical Bayesian Model for Action Recognition—0
Multi-Granularity Fusion Network for Proposal and Activity Localization: Submission to ActivityNet Challenge 2019 Task 1 and Task 2—0
Multi-kernel learning of deep convolutional features for action recognition—0
Multi-label Class-imbalanced Action Recognition in Hockey Videos via 3D Convolutional Neural Networks—0
Multi-Label Zero-Shot Human Action Recognition via Joint Latent Ranking Embedding—0
Multi-Level Recurrent Residual Networks for Action Recognition—0
Multimodal Explanations by Predicting Counterfactuality in Videos—0
Multimodal Multipart Learning for Action Recognition in Depth Videos—0
Multi-modal Prompting for Low-Shot Temporal Action Localization—0
Multi-Modal Three-Stream Network for 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