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 251–300 of 1477 papers

TitleStatusHype
ACGNet: Action Complement Graph Network for Weakly-supervised Temporal Action LocalizationCode0
Bayesian Hierarchical Dynamic Model for Human Action RecognitionCode0
Learning To Score Olympic EventsCode0
Learning to Estimate Pose by Watching VideosCode0
Let's Dance: Learning From Online Dance VideosCode0
Learning Spatio-Temporal Features with 3D Residual Networks for Action RecognitionCode0
Learning Spatio-Temporal Representation with Local and Global DiffusionCode0
Learning Human Action Recognition Representations Without Real HumansCode0
Learning long-term dependencies for action recognition with a biologically-inspired deep networkCode0
EV-Action: Electromyography-Vision Multi-Modal Action DatasetCode0
Learning Gating ConvNet for Two-Stream based Methods in Action RecognitionCode0
Learning Temporal Co-Attention Models for Unsupervised Video Action LocalizationCode0
MARS: Motion-Augmented RGB Stream for Action RecognitionCode0
A Variational Time Series Feature Extractor for Action PredictionCode0
Learning deep representations for video-based intake gesture detectionCode0
Learning from Noisy Pseudo Labels for Semi-Supervised Temporal Action LocalizationCode0
Actor-identified Spatiotemporal Action Detection --- Detecting Who Is Doing What in VideosCode0
Large-scale Robustness Analysis of Video Action Recognition ModelsCode0
AutoLoc: Weakly-supervised Temporal Action LocalizationCode0
Language Model Guided Interpretable Video Action ReasoningCode0
Large-scale weakly-supervised pre-training for video action recognitionCode0
AU R-CNN: Encoding Expert Prior Knowledge into R-CNN for Action Unit DetectionCode0
3D CNNs on Distance Matrices for Human Action RecognitionCode0
Joint Discovery of Object States and Manipulation ActionsCode0
Audio-Visual Scene Analysis with Self-Supervised Multisensory FeaturesCode0
Actor and Observer: Joint Modeling of First and Third-Person VideosCode0
Audio-Visual Model Distillation Using Acoustic ImagesCode0
ActivityNet: A Large-Scale Video Benchmark for Human Activity UnderstandingCode0
Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer VisionCode0
Attentive Semantic Video Generation using CaptionsCode0
Cross-Model Cross-Stream Learning for Self-Supervised Human Action RecognitionCode0
KORSAL: Key-point Detection based Online Real-Time Spatio-Temporal Action LocalizationCode0
Learning from Video and Text via Large-Scale Discriminative ClusteringCode0
Mask and Compress: Efficient Skeleton-based Action Recognition in Continual LearningCode0
Out-of-Distribution Detection for Generalized Zero-Shot Action RecognitionCode0
Im2Flow: Motion Hallucination from Static Images for Action RecognitionCode0
Attentional Pooling for Action RecognitionCode0
Human Action Recognition Using Deep Multilevel Multimodal (M2) Fusion of Depth and Inertial SensorsCode0
Asynchronous Temporal Fields for Action RecognitionCode0
Human activity recognition from skeleton posesCode0
A Bag-of-Words Equivalent Recurrent Neural Network for Action RecognitionCode0
Human Action Recognition by Representing 3D Skeletons as Points in a Lie GroupCode0
I3D-LSTM: A New Model for Human Action RecognitionCode0
High-Performance Inference Graph Convolutional Networks for Skeleton-Based Action RecognitionCode0
Hierarchical Explanations for Video Action RecognitionCode0
Temporal Unet: Sample Level Human Action Recognition using WiFiCode0
Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and BeyondCode0
HARFLOW3D: A Latency-Oriented 3D-CNN Accelerator Toolflow for HAR on FPGA DevicesCode0
Action Tubelet Detector for Spatio-Temporal Action LocalizationCode0
A Simple Transformer-Based Model for Ego4D Natural Language Queries ChallengeCode0
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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