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 301–350 of 1477 papers

TitleStatusHype
Actions ~ TransformationsCode0
Learning Temporal Co-Attention Models for Unsupervised Video Action LocalizationCode0
Learning Gating ConvNet for Two-Stream based Methods in Action RecognitionCode0
Learning from Noisy Pseudo Labels for Semi-Supervised Temporal Action LocalizationCode0
Learning Human Action Recognition Representations Without Real HumansCode0
A Pursuit of Temporal Accuracy in General Activity DetectionCode0
Large-scale Robustness Analysis of Video Action Recognition ModelsCode0
Learning deep representations for video-based intake gesture detectionCode0
Learning long-term dependencies for action recognition with a biologically-inspired deep networkCode0
Learning to Estimate Pose by Watching VideosCode0
Appearance-and-Relation Networks for Video ClassificationCode0
Cross-Modal and Hierarchical Modeling of Video and TextCode0
Joint Discovery of Object States and Manipulation ActionsCode0
Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer VisionCode0
Investigation of Different Skeleton Features for CNN-based 3D Action RecognitionCode0
Cross-Model Cross-Stream Learning for Self-Supervised Human Action RecognitionCode0
KORSAL: Key-point Detection based Online Real-Time Spatio-Temporal Action LocalizationCode0
Counterfactual Gradients-based Quantification of Prediction Trust in Neural NetworksCode0
3C-Net: Category Count and Center Loss for Weakly-Supervised Action LocalizationCode0
I3D-LSTM: A New Model for Human Action RecognitionCode0
Human activity recognition from skeleton posesCode0
Im2Flow: Motion Hallucination from Static Images for Action RecognitionCode0
Human Action Recognition by Representing 3D Skeletons as Points in a Lie GroupCode0
Action Recognition with Trajectory-Pooled Deep-Convolutional DescriptorsCode0
Human Action Recognition Using Deep Multilevel Multimodal (M2) Fusion of Depth and Inertial SensorsCode0
Language Model Guided Interpretable Video Action ReasoningCode0
Action Search: Spotting Actions in Videos and Its Application to Temporal Action LocalizationCode0
Interpretable 3D Human Action Analysis with Temporal Convolutional NetworksCode0
Cross and Learn: Cross-Modal Self-SupervisionCode0
Learning To Score Olympic EventsCode0
Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and BeyondCode0
Convolutional Two-Stream Network Fusion for Video Action RecognitionCode0
Convolutional Neural Network Language ModelsCode0
Cross-modal Learning by Hallucinating Missing Modalities in RGB-D VisionCode0
A^2-Nets: Double Attention NetworksCode0
Cross-Model Cross-Stream Learning for Self-Supervised Human Action RecognitionCode0
Hierarchical Explanations for Video Action RecognitionCode0
Large-scale weakly-supervised pre-training for video action recognitionCode0
ConvGRU in Fine-grained Pitching Action Recognition for Action Outcome PredictionCode0
HARFLOW3D: A Latency-Oriented 3D-CNN Accelerator Toolflow for HAR on FPGA DevicesCode0
CSI-Net: Unified Human Body Characterization and Pose RecognitionCode0
Learning from Video and Text via Large-Scale Discriminative ClusteringCode0
Actional-Structural Graph Convolutional Networks for Skeleton-based Action RecognitionCode0
Handwashing Action Detection System for an Autonomous Social RobotCode0
High-Performance Inference Graph Convolutional Networks for Skeleton-Based Action RecognitionCode0
D3D: Distilled 3D Networks for Video Action RecognitionCode0
Graph Convolutional Networks for Temporal Action LocalizationCode0
Graph-Based Global Reasoning NetworksCode0
DD-GCN: Directed Diffusion Graph Convolutional Network for Skeleton-based Human Action RecognitionCode0
Growing a Brain with Sparsity-Inducing Generation for Continual LearningCode0
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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