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 1251–1300 of 1477 papers

TitleStatusHype
DMCL: Distillation Multiple Choice Learning for Multimodal Action RecognitionCode0
Weakly-Supervised Temporal Action Localization by Progressive Complementary LearningCode0
Video Representation Learning by Dense Predictive CodingCode0
SMART: Scene-motion-aware human action recognition framework for mental disorder groupCode0
A Simple Transformer-Based Model for Ego4D Natural Language Queries ChallengeCode0
Actions ~ TransformationsCode0
Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization TasksCode0
Temporal Unet: Sample Level Human Action Recognition using WiFiCode0
Sparse 3D convolutional neural networksCode0
Learning deep representations for video-based intake gesture detectionCode0
Dilation-Erosion for Single-Frame Supervised Temporal Action LocalizationCode0
Human Action Recognition by Representing 3D Skeletons as Points in a Lie GroupCode0
Contextualized Spatio-Temporal Contrastive Learning with Self-SupervisionCode0
Dilated Context Integrated Network with Cross-Modal Consensus for Temporal Emotion Localization in VideosCode0
Learning from Noisy Pseudo Labels for Semi-Supervised Temporal Action LocalizationCode0
Actional-Structural Graph Convolutional Networks for Skeleton-based Action RecognitionCode0
High-Performance Inference Graph Convolutional Networks for Skeleton-Based Action RecognitionCode0
Learning from Video and Text via Large-Scale Discriminative ClusteringCode0
A Pursuit of Temporal Accuracy in General Activity DetectionCode0
Learning Gating ConvNet for Two-Stream based Methods in Action RecognitionCode0
Learning Human Action Recognition Representations Without Real HumansCode0
RALACs: Action Recognition in Autonomous Vehicles using Interaction Encoding and Optical FlowCode0
Sparse Covariance Neural NetworksCode0
Learning Multimodal Representations for Unseen ActivitiesCode0
Learning long-term dependencies for action recognition with a biologically-inspired deep networkCode0
Rank Pooling for Action RecognitionCode0
Rate-Accuracy Trade-Off In Video Classification With Deep Convolutional Neural NetworksCode0
Diagnosing Error in Temporal Action DetectorsCode0
Re2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action LocalizationCode0
Describing Videos by Exploiting Temporal StructureCode0
Hierarchical Explanations for Video Action RecognitionCode0
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
Delving Deeper into Convolutional Networks for Learning Video RepresentationsCode0
Learning Spatio-Temporal Features with 3D Residual Networks for Action RecognitionCode0
Learning Spatio-Temporal Representation with Local and Global DiffusionCode0
Real-Time Action Detection in Video Surveillance using Sub-Action Descriptor with Multi-CNNCode0
Learning Temporal Co-Attention Models for Unsupervised Video Action LocalizationCode0
Learning to Estimate Pose by Watching VideosCode0
Spatial-Temporal Decoupling Contrastive Learning for Skeleton-based Human Action RecognitionCode0
Contextual Action Recognition with R*CNNCode0
Appearance-and-Relation Networks for Video ClassificationCode0
Conditional Extreme Value Theory for Open Set Video Domain AdaptationCode0
Are Spatial-Temporal Graph Convolution Networks for Human Action Recognition Over-Parameterized?Code0
Learning To Score Olympic EventsCode0
Anchor-free temporal action localization via Progressive Boundary-aware BoostingCode0
A Comparative Review of Recent Kinect-based Action Recognition AlgorithmsCode0
View Adaptive Neural Networks for High Performance Skeleton-based Human Action RecognitionCode0
View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton DataCode0
Unsupervised Domain Adaptation for Video Transformers in Action RecognitionCode0
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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