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 151–200 of 1477 papers

TitleStatusHype
SADA: Semantic adversarial unsupervised domain adaptation for Temporal Action LocalizationCode0
Online Action Recognition for Human Risk Prediction with Anticipated Haptic Alert via WearablesCode0
Generative Model-based Feature Knowledge Distillation for Action RecognitionCode1
EZ-CLIP: Efficient Zeroshot Video Action RecognitionCode1
Towards a geometric understanding of Spatio Temporal Graph Convolution NetworksCode0
Visual Self-paced Iterative Learning for Unsupervised Temporal Action LocalizationCode0
From Detection to Action Recognition: An Edge-Based Pipeline for Robot Human Perception—0
Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-TrainingCode0
Generating Action-conditioned Prompts for Open-vocabulary Video Action Recognition—0
DEVIAS: Learning Disentangled Video Representations of Action and SceneCode1
F4D: Factorized 4D Convolutional Neural Network for Efficient Video-level Representation Learning—0
Towards Weakly Supervised End-to-end Learning for Long-video Action Recognition—0
End-to-End Temporal Action Detection with 1B Parameters Across 1000 FramesCode2
Bridging the Gap: A Unified Video Comprehension Framework for Moment Retrieval and Highlight DetectionCode1
ADM-Loc: Actionness Distribution Modeling for Point-supervised Temporal Action Localization—0
Temporal Action Localization for Inertial-based Human Activity RecognitionCode1
Align before Adapt: Leveraging Entity-to-Region Alignments for Generalizable Video Action Recognition—0
Challenges in Video-Based Infant Action Recognition: A Critical Examination of the State of the ArtCode1
Learning Human Action Recognition Representations Without Real HumansCode0
FPGA-QHAR: Throughput-Optimized for Quantized Human Action Recognition on The EdgeCode0
Distilling Knowledge from CNN-Transformer Models for Enhanced Human Action Recognition—0
Distribution of Action Movements (DAM): A Descriptor for Human Action Recognition—0
Videoprompter: an ensemble of foundational models for zero-shot video understanding—0
POTLoc: Pseudo-Label Oriented Transformer for Point-Supervised Temporal Action Localization—0
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 TasksCode0
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
Exploring Self-supervised Skeleton-based Action Recognition in Occluded EnvironmentsCode1
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
Temporal Action Localization with Enhanced Instant DiscriminabilityCode2
Unified Contrastive Fusion Transformer for Multimodal Human Action Recognition—0
CDFSL-V: Cross-Domain Few-Shot Learning for VideosCode1
EgoPCA: A New Framework for Egocentric Hand-Object Interaction Understanding—0
B2C-AFM: Bi-Directional Co-Temporal and Cross-Spatial Attention Fusion Model for Human Action RecognitionCode1
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
HR-Pro: Point-supervised Temporal Action Localization via Hierarchical Reliability PropagationCode1
Cross-Video Contextual Knowledge Exploration and Exploitation for Ambiguity Reduction in Weakly Supervised Temporal Action Localization—0
POCO: 3D Pose and Shape Estimation with ConfidenceCode1
DD-GCN: Directed Diffusion Graph Convolutional Network for Skeleton-based Human 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