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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 651–700 of 1477 papers

TitleStatusHype
Delving Into Egocentric Actions—0
Deep-Temporal LSTM for Daily Living Action Recognition—0
Attributes' Importance for Zero-Shot Pose-Classification Based on Wearable Sensors—0
Activity Recognition on a Large Scale in Short Videos - Moments in Time Dataset—0
Action in Mind: A Neural Network Approach to Action Recognition and Segmentation—0
A baseline on continual learning methods for video action recognition—0
3D Convolutional Neural Networks for Ultrasound-Based Silent Speech Interfaces—0
Online Temporal Action Localization with Memory-Augmented Transformer—0
Deep Spatio-temporal Manifold Network for Action Recognition—0
Attentive Action and Context Factorization—0
Deep set conditioned latent representations for action recognition—0
Deep Sequential Context Networks for Action Prediction—0
Attention Transfer from Web Images for Video Recognition—0
Activity Graph Transformer for Temporal Action Localization—0
Attention-based Temporal Weighted Convolutional Neural Network for Action Recognition—0
Deep Quantization: Encoding Convolutional Activations with Deep Generative Model—0
Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition—0
Active Learning with Effective Scoring Functions for Semi-Supervised Temporal Action Localization—0
ActionFlowNet: Learning Motion Representation for Action Recognition—0
Deep Neural Networks in Video Human Action Recognition: A Review—0
Deep Multimodal Feature Analysis for Action Recognition in RGB+D Videos—0
Attend and Interact: Higher-Order Object Interactions for Video Understanding—0
Deep Motion Prior for Weakly-Supervised Temporal Action Localization—0
Deep Motion Features for Visual Tracking—0
Active Generation Network of Human Skeleton for Action Recognition—0
Deep manifold-to-manifold transforming network for action recognition—0
Deep Local Video Feature for Action Recognition—0
DeepLocalization: Using change point detection for Temporal Action Localization—0
Deep Learning Techniques for Video Instance Segmentation: A Survey—0
A Survey on Video Moment Localization—0
ActionXPose: A Novel 2D Multi-view Pose-based Algorithm for Real-time Human Action Recognition—0
Action Detection by Implicit Intentional Motion Clustering—0
Deep Learning on Lie Groups for Skeleton-based Action Recognition—0
Deep Learning Computer Vision Algorithms for Real-time UAVs On-board Camera Image Processing—0
A Survey on Temporal Sentence Grounding in Videos—0
Deep Learning Approaches for Human Action Recognition in Video Data—0
A Survey on Multimodal Wearable Sensor-based Human Action Recognition—0
Action Unit Memory Network for Weakly Supervised Temporal Action Localization—0
DEEPEYE: A Compact and Accurate Video Comprehension at Terminal Devices Compressed with Quantization and Tensorization—0
Deep Discriminative Model for Video Classification—0
A Survey on Human Action Recognition—0
Deep Convolutional Neural Networks for Action Recognition Using Depth Map Sequences—0
A Survey on Backbones for Deep Video Action Recognition—0
Action Understanding with Multiple Classes of Actors—0
Deep Bilinear Learning for RGB-D Action Recognition—0
A Survey of Visual Analysis of Human Motion and Its Applications—0
Deep Alternative Neural Network: Exploring Contexts as Early as Possible for Action Recognition—0
Deep Action- and Context-Aware Sequence Learning for Activity Recognition and Anticipation—0
A Survey of Video-based Action Quality Assessment—0
Deception Detection in Videos—0
Show:102550
← PrevPage 14 of 30Next →
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