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 351–400 of 1477 papers

TitleStatusHype
Deep Learning Techniques for Video Instance Segmentation: A Survey—0
Proposal-based Temporal Action Localization with Point-level Supervision—0
Analyzing Zero-Shot Abilities of Vision-Language Models on Video Understanding Tasks—0
Multi-Resolution Audio-Visual Feature Fusion for Temporal Action Localization—0
M^33D: Learning 3D priors using Multi-Modal Masked Autoencoders for 2D image and video understanding—0
Boundary-Aware Proposal Generation Method for Temporal Action Localization—0
Survey of Action Recognition, Spotting and Spatio-Temporal Localization in Soccer -- Current Trends and Research Perspectives—0
Elevating Skeleton-Based Action Recognition with Efficient Multi-Modality Self-SupervisionCode0
Revisiting Kernel Temporal Segmentation as an Adaptive Tokenizer for Long-form Video Understanding—0
Selective Volume Mixup for Video Action RecognitionCode0
Sub-action Prototype Learning for Point-level Weakly-supervised Temporal Action Localization—0
hear-your-action: human action recognition by ultrasound active sensing—0
TransNet: A Transfer Learning-Based Network for Human Action Recognition—0
Unified Contrastive Fusion Transformer for Multimodal Human Action Recognition—0
EgoPCA: A New Framework for Egocentric Hand-Object Interaction Understanding—0
IndGIC: Supervised Action Recognition under Low Illumination—0
Improving Video Violence Recognition with Human Interaction Learning on 3D Skeleton Point Clouds—0
Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models—0
DD-GCN: Directed Diffusion Graph Convolutional Network for Skeleton-based Human Action RecognitionCode0
Cross-Video Contextual Knowledge Exploration and Exploitation for Ambiguity Reduction in Weakly Supervised Temporal Action Localization—0
Video BagNet: short temporal receptive fields increase robustness in long-term action recognitionCode0
Temporal-Distributed Backdoor Attack Against Video Based Action Recognition—0
UnLoc: A Unified Framework for Video Localization Tasks—0
Action Class Relation Detection and Classification Across Multiple Video Datasets—0
JEDI: Joint Expert Distillation in a Semi-Supervised Multi-Dataset Student-Teacher Scenario for Video Action Recognition—0
ViLP: Knowledge Exploration using Vision, Language, and Pose Embeddings for Video Action RecognitionCode0
SkateboardAI: The Coolest Video Action Recognition for SkateboardingCode0
TS-RGBD Dataset: a Novel Dataset for Theatre Scenes Description for People with Visual ImpairmentsCode0
MAiVAR-T: Multimodal Audio-image and Video Action Recognizer using Transformers—0
Sample Less, Learn More: Efficient Action Recognition via Frame Feature RestorationCode0
Spatiotemporal Modeling Encounters 3D Medical Image Analysis: Slice-Shift UNet with Multi-View Fusion—0
Two-stream Multi-level Dynamic Point Transformer for Two-person Interaction Recognition—0
Fusing Hand and Body Skeletons for Human Action Recognition in Assembly—0
Human Action Recognition in Still Images Using ConViT—0
Similarity Min-Max: Zero-Shot Day-Night Domain Adaptation—0
Cross-Model Cross-Stream Learning for Self-Supervised Human Action RecognitionCode0
Free-Form Composition Networks for Egocentric Action Recognition—0
SpATr: MoCap 3D Human Action Recognition based on Spiral Auto-encoder and Transformer NetworkCode0
Theater Aid System for the Visually Impaired Through Transfer Learning of Spatio-Temporal Graph Convolution Networks—0
Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition—0
A Survey on Video Moment Localization—0
How Object Information Improves Skeleton-based Human Action Recognition in Assembly Tasks—0
Human Action Recognition in Egocentric Perspective Using 2D Object and Hands Pose—0
Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie StimuliCode0
fpgaHART: A toolflow for throughput-oriented acceleration of 3D CNNs for HAR onto FPGAs—0
High-Performance Inference Graph Convolutional Networks for Skeleton-Based Action RecognitionCode0
FMM-X3D: FPGA-based modeling and mapping of X3D for Human Action Recognition—0
Deep Neural Networks in Video Human Action Recognition: A Review—0
Action Sensitivity Learning for Temporal Action Localization—0
High Speed Human Action Recognition using a Photonic Reservoir Computer—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