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 1151–1200 of 1477 papers

TitleStatusHype
PLOT-TAL -- Prompt Learning with Optimal Transport for Few-Shot Temporal Action Localization—0
PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-modalities—0
Point-Level Temporal Action Localization: Bridging Fully-supervised Proposals to Weakly-supervised Losses—0
Pooling the Convolutional Layers in Deep ConvNets for Action Recognition—0
Pose-Based Two-Stream Relational Networks for Action Recognition in Videos—0
Pose-conditioned Spatio-Temporal Attention for Human Action Recognition—0
PoseFlow: A Deep Motion Representation for Understanding Human Behaviors in Videos—0
Pose for Action - Action for Pose—0
Pose from Action: Unsupervised Learning of Pose Features based on Motion—0
Pose-Guided Graph Convolutional Networks for Skeleton-Based Action Recognition—0
PoTion: Pose MoTion Representation for Action Recognition—0
POTLoc: Pseudo-Label Oriented Transformer for Point-Supervised Temporal Action Localization—0
Precise Temporal Action Localization by Evolving Temporal Proposals—0
Predictive Learning: Using Future Representation Learning Variantial Autoencoder for Human Action Prediction—0
Prior-enhanced Temporal Action Localization using Subject-aware Spatial Attention—0
Privacy-Preserving Action Recognition for Smart Hospitals using Low-Resolution Depth Images—0
Privacy-Preserving Action Recognition using Coded Aperture Videos—0
PrivHAR: Recognizing Human Actions From Privacy-preserving Lens—0
Language-Assisted Deep Learning for Autistic Behaviors Recognition—0
Procedural Generation of Videos to Train Deep Action Recognition Networks—0
Progressive Cross-modal Knowledge Distillation for Human Action Recognition—0
Progressively Parsing Interactional Objects for Fine Grained Action Detection—0
Progressive Spatio-Temporal Graph Convolutional Network for Skeleton-Based Human Action Recognition—0
Progressive Teacher-Student Learning for Early Action Prediction—0
Progress Regression RNN for Online Spatial-Temporal Action Localization in Unconstrained Videos—0
SCP: Soft Conditional Prompt Learning for Aerial Video Action Recognition—0
Proposal-based Temporal Action Localization with Point-level Supervision—0
ProTAL: A Drag-and-Link Video Programming Framework for Temporal Action Localization—0
Pulling Actions out of Context: Explicit Separation for Effective Combination—0
Random Temporal Skipping for Multirate Video Analysis—0
Range-Sample Depth Feature for Action Recognition—0
Real-time Action Recognition with Dissimilarity-based Training of Specialized Module Networks—0
Real-time Action Recognition with Enhanced Motion Vector CNNs—0
Real-Time Elderly Monitoring for Senior Safety by Lightweight Human Action Recognition—0
Real-Time End-to-End Action Detection with Two-Stream Networks—0
Real-Time Human Action Recognition on Embedded Platforms—0
Real-time Human Action Recognition Using Locally Aggregated Kinematic-Guided Skeletonlet and Supervised Hashing-by-Analysis Model—0
Real-time Human Pose Estimation from Video with Convolutional Neural Networks—0
Real-time Spatio-temporal Action Localization via Learning Motion Representation—0
Recognize Actions by Disentangling Components of Dynamics—0
Recognizing Activities by Attribute Dynamics—0
Recognizing Human Actions as the Evolution of Pose Estimation Maps—0
Reconfigurable Cyber-Physical System for Lifestyle Video-Monitoring via Deep Learning—0
Reconstruction-free action inference from compressive imagers—0
Recurrent Residual Learning for Action Recognition—0
Recurring the Transformer for Video Action Recognition—0
Recursive Frechet Mean Computation on the Grassmannian and its Applications to Computer Vision—0
ReGen: A good Generative Zero-Shot Video Classifier Should be Rewarded—0
REGINA - Reasoning Graph Convolutional Networks in Human Action Recognition—0
Regularization on Spatio-Temporally Smoothed Feature 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