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 151–200 of 1477 papers

TitleStatusHype
A Comprehensive Study of Deep Video Action RecognitionCode1
Fast Fourier ConvolutionCode1
Video Self-Stitching Graph Network for Temporal Action LocalizationCode1
Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action RecognitionCode1
TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization TasksCode1
Boundary-sensitive Pre-training for Temporal Localization in VideosCode1
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
Deep Analysis of CNN-based Spatio-temporal Representations for Action RecognitionCode1
Depth Guided Adaptive Meta-Fusion Network for Few-shot Video RecognitionCode1
InHARD - Industrial Human Action Recognition Dataset in the Context of Industrial Collaborative RoboticsCode1
BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal GenerationCode1
Lifelong Graph LearningCode1
DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 PandemicCode1
Revisiting Anchor Mechanisms for Temporal Action LocalizationCode1
Self-supervised Temporal Discriminative Learning for Video Representation LearningCode1
RubiksNet: Learnable 3D-Shift for Efficient Video Action RecognitionCode1
Multi-view Action Recognition using Cross-view Video PredictionCode1
TinyVIRAT: Low-resolution Video Action RecognitionCode1
IntegralAction: Pose-driven Feature Integration for Robust Human Action Recognition in VideosCode1
Decoupled Spatial-Temporal Attention Network for Skeleton-Based Action RecognitionCode1
The IKEA ASM Dataset: Understanding People Assembling Furniture through Actions, Objects and PoseCode1
1st place solution for AVA-Kinetics Crossover in AcitivityNet Challenge 2020Code1
Actor-Context-Actor Relation Network for Spatio-Temporal Action LocalizationCode1
CBR-Net: Cascade Boundary Refinement Network for Action Detection: Submission to ActivityNet Challenge 2020 (Task 1)Code1
Weakly-supervised Temporal Action Localization by Uncertainty ModelingCode1
Iterate & Cluster: Iterative Semi-Supervised Action RecognitionCode1
Complex Sequential Understanding through the Awareness of Spatial and Temporal ConceptsCode1
Project RISE: Recognizing Industrial Smoke EmissionsCode1
Improved Residual Networks for Image and Video RecognitionCode1
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D NetworksCode1
Weakly-Supervised Action Localization by Generative Attention ModelingCode1
Temporally Coherent Embeddings for Self-Supervised Video Representation LearningCode1
SF-Net: Single-Frame Supervision for Temporal Action LocalizationCode1
Infrared and 3D skeleton feature fusion for RGB-D action recognitionCode1
Bottom-Up Temporal Action Localization with Mutual RegularizationCode1
Weakly Supervised Temporal Action Localization Using Deep Metric LearningCode1
Learning Sparse 2D Temporal Adjacent Networks for Temporal Action LocalizationCode1
G-TAD: Sub-Graph Localization for Temporal Action DetectionCode1
Background Suppression Network for Weakly-supervised Temporal Action LocalizationCode1
Fast Learning of Temporal Action Proposal via Dense Boundary GeneratorCode1
BMN: Boundary-Matching Network for Temporal Action Proposal GenerationCode1
What Would You Expect? Anticipating Egocentric Actions with Rolling-Unrolling LSTMs and Modality AttentionCode1
Lightweight Network Architecture for Real-Time Action RecognitionCode1
NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity UnderstandingCode1
Large Scale Holistic Video UnderstandingCode1
What and How Well You Performed? A Multitask Learning Approach to Action Quality AssessmentCode1
Compressing Recurrent Neural Networks with Tensor Ring for Action RecognitionCode1
Towards High Resolution Video Generation with Progressive Growing of Sliced Wasserstein GANsCode1
Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot StudyCode1
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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