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 551–600 of 1477 papers

TitleStatusHype
Temporal Contrastive Graph Learning for Video Action Recognition and Retrieval—0
A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action LocalizationCode1
CAG-QIL: Context-Aware Actionness Grouping via Q Imitation Learning for Online Temporal Action Localization—0
Divide and Conquer for Single-Frame Temporal Action Localization—0
Geometric Deep Neural Network Using Rigid and Non-Rigid Transformations for Human Action Recognition—0
Exploring Sub-Pseudo Labels for Learning from Weakly-Labeled Web Videos—0
Faster and Accurate Compressed Video Action Recognition Straight from the Frequency Domain—0
Human Action Recognition from Various Data Modalities: A Review—0
Multi-shot Temporal Event Localization: a BenchmarkCode1
Weakly-Supervised Action Localization and Action Recognition using Global-Local Attention of 3D CNN—0
Point-Level Temporal Action Localization: Bridging Fully-supervised Proposals to Weakly-supervised Losses—0
GTA: Global Temporal Attention for Video Action Understanding—0
MVFNet: Multi-View Fusion Network for Efficient Video RecognitionCode1
Spatial Temporal Transformer Network for Skeleton-based Action RecognitionCode1
D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised ActivationsCode0
A Comprehensive Study of Deep Video Action RecognitionCode1
A New Action Recognition Framework for Video Highlights Summarization in Sporting Events—0
Fast Fourier ConvolutionCode1
Real-time Spatio-temporal Action Localization via Learning Motion Representation—0
Annotation-Efficient Untrimmed Video Action Recognition—0
Video Self-Stitching Graph Network for Temporal Action LocalizationCode1
Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action RecognitionCode1
Group-Skeleton-Based Human Action Recognition in Complex Events—0
A3D: Adaptive 3D Networks for Video Action Recognition—0
TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization TasksCode1
Boundary-sensitive Pre-training for Temporal Localization in VideosCode1
JOLO-GCN: Mining Joint-Centered Light-Weight Information for Skeleton-Based Action Recognition—0
Progressive Spatio-Temporal Graph Convolutional Network for Skeleton-Based Human Action Recognition—0
Multi-Temporal Convolutions for Human Action Recognition in VideosCode1
On the spatial attention in Spatio-Temporal Graph Convolutional Networks for skeleton-based human action recognitionCode1
CNN based Multistage Gated Average Fusion (MGAF) for Human Action Recognition Using Depth and Inertial SensorsCode0
ElderSim: A Synthetic Data Generation Platform for Human Action Recognition in Eldercare Applications—0
Temporal Attention-Augmented Graph Convolutional Network for Efficient Skeleton-Based Human Action Recognition—0
Deep Analysis of CNN-based Spatio-temporal Representations for Action RecognitionCode1
Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization—0
Depth Guided Adaptive Meta-Fusion Network for Few-shot Video RecognitionCode1
Unsupervised Domain Adaptation for Spatio-Temporal Action Localization—0
A Grid-based Representation for Human Action Recognition—0
Pose And Joint-Aware Action RecognitionCode0
Reconfigurable Cyber-Physical System for Lifestyle Video-Monitoring via Deep Learning—0
A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition—0
Features Understanding in 3D CNNs for Actions Recognition in VideoCode0
InHARD - Industrial Human Action Recognition Dataset in the Context of Industrial Collaborative RoboticsCode1
Knowledge Fusion Transformers for Video Action Recognition—0
Event-based Action Recognition Using Timestamp Image Encoding Network—0
PERF-Net: Pose Empowered RGB-Flow Net—0
BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal GenerationCode1
Collaborative Distillation in the Parameter and Spectrum Domains for Video Action Recognition—0
View-invariant action recognition—0
Lifelong Graph LearningCode1
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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