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 501–550 of 1477 papers

TitleStatusHype
LAVA: Language Audio Vision Alignment for Contrastive Video Pre-Training—0
Forcing the Whole Video as Background: An Adversarial Learning Strategy for Weakly Temporal Action Localization—0
Skeletal Human Action Recognition using Hybrid Attention based Graph Convolutional NetworkCode0
Large-scale Robustness Analysis of Video Action Recognition ModelsCode0
Spatial Transformer Network with Transfer Learning for Small-scale Fine-grained Skeleton-based Tai Chi Action Recognition—0
Learning to Refactor Action and Co-occurrence Features for Temporal Action Localization—0
Weakly-Supervised Temporal Action Localization by Progressive Complementary LearningCode0
temporal driver action Localization using action classifications methodCode0
Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition—0
PrivHAR: Recognizing Human Actions From Privacy-preserving Lens—0
TadML: A fast temporal action detection with Mechanics-MLPCode0
3D Convolutional with Attention for Action Recognition—0
Self-supervised Learning of Audio Representations from Audio-Visual Data using Spatial Alignment—0
2D versus 3D Convolutional Spiking Neural Networks Trained with Unsupervised STDP for Human Action Recognition—0
GraSens: A Gabor Residual Anti-aliasing Sensing Framework for Action Recognition using WiFi—0
Representation Learning for Compressed Video Action Recognition via Attentive Cross-modal Interaction with Motion Enhancement—0
Handcrafted localized phase features for human action recognition—0
Contrastive Language-Action Pre-training for Temporal Localization—0
Unsupervised Human Action Recognition with Skeletal Graph Laplacian and Self-Supervised Viewpoints InvarianceCode0
A Survey of Video-based Action Quality Assessment—0
ActAR: Actor-Driven Pose Embeddings for Video Action Recognition—0
Invisible-to-Visible: Privacy-Aware Human Instance Segmentation using Airborne Ultrasound via Collaborative Learning Variational Autoencoder—0
Frequency Selective Augmentation for Video Representation Learning—0
MM-SEAL: A Large-scale Video Dataset of Multi-person Multi-grained Spatio-temporally Action Localization—0
Direct Dense Pose Estimation—0
LocATe: End-to-end Localization of Actions in 3D with Transformers—0
Gate-Shift-Fuse for Video Action RecognitionCode0
Context-LSTM: a robust classifier for video detection on UCF101—0
End-to-End Semantic Video Transformer for Zero-Shot Action RecognitionCode0
Continuous Human Action Recognition for Human-Machine Interaction: A Review—0
On Modality Bias Recognition and ReductionCode0
When Did It Happen? Duration-informed Temporal Localization of Narrated Actions in VlogsCode0
OWL (Observe, Watch, Listen): Audiovisual Temporal Context for Localizing Actions in Egocentric Videos—0
Joint-bone Fusion Graph Convolutional Network for Semi-supervised Skeleton Action Recognition—0
Benchmarking Conventional Vision Models on Neuromorphic Fall Detection and Action Recognition Dataset—0
Semantically Video Coding: Instill Static-Dynamic Clues into Structured Bitstream for AI Tasks—0
Semantic Labeling of Human Action For Visually Impaired And Blind People Scene Interaction—0
Exploring Denoised Cross-Video Contrast for Weakly-Supervised Temporal Action Localization—0
Recurring the Transformer for Video Action Recognition—0
Object-Relation Reasoning Graph for Action Recognition—0
Interact Before Align: Leveraging Cross-Modal Knowledge for Domain Adaptive Action Recognition—0
Complex Video Action Reasoning via Learnable Markov Logic Network—0
ACGNet: Action Complement Graph Network for Weakly-supervised Temporal Action LocalizationCode0
Precondition and Effect Reasoning for Action RecognitionCode0
Analysis and Evaluation of Kinect-based Action Recognition AlgorithmsCode0
Temporal Shuffling for Defending Deep Action Recognition Models against Adversarial AttacksCode0
Temporal Transformer Networks with Self-Supervision for Action Recognition—0
Multi-Expert Human Action Recognition with Hierarchical Super-Class Learning—0
Contextualized Spatio-Temporal Contrastive Learning with Self-SupervisionCode0
STSM: Spatio-Temporal Shift Module for Efficient Action Recognition—0
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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