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 201–250 of 1477 papers

TitleStatusHype
TDS-CLIP: Temporal Difference Side Network for Image-to-Video Transfer LearningCode1
AutoVideo: An Automated Video Action Recognition SystemCode1
AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual ActionsCode1
Temporal Action Localization for Inertial-based Human Activity RecognitionCode1
A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action LocalizationCode1
CBR-Net: Cascade Boundary Refinement Network for Action Detection: Submission to ActivityNet Challenge 2020 (Task 1)Code1
Cross-modal Consensus Network for Weakly Supervised Temporal Action LocalizationCode1
Deep Analysis of CNN-based Spatio-temporal Representations for Action RecognitionCode1
BABEL: Bodies, Action and Behavior with English LabelsCode1
Event Stream based Human Action Recognition: A High-Definition Benchmark Dataset and AlgorithmsCode1
Learning from Temporal Gradient for Semi-supervised Action RecognitionCode1
Weakly-supervised Temporal Action Localization by Uncertainty ModelingCode1
Background Suppression Network for Weakly-supervised Temporal Action LocalizationCode1
Time Is MattEr: Temporal Self-supervision for Video TransformersCode1
SF-Net: Single-Frame Supervision for Temporal Action LocalizationCode1
BasicTAD: an Astounding RGB-Only Baseline for Temporal Action DetectionCode1
A Hierarchical Pose-Based Approach to Complex Action Understanding Using Dictionaries of Actionlets and Motion Poselets—0
A Grid-based Representation for Human Action Recognition—0
Action recognition by learning pose representations—0
A Generative Restricted Boltzmann Machine Based Method for High-Dimensional Motion Data Modeling—0
A Generative Approach to Zero-Shot and Few-Shot Action Recognition—0
Action Recognition by Hierarchical Sequence Summarization—0
3DFCNN: Real-Time Action Recognition using 3D Deep Neural Networks with Raw Depth Information—0
A Fine-to-Coarse Convolutional Neural Network for 3D Human Action Recognition—0
Action Recognition by Hierarchical Mid-level Action Elements—0
Context-LSTM: a robust classifier for video detection on UCF101—0
Adversarial Seeded Sequence Growing for Weakly-Supervised Temporal Action Localization—0
Action Recognition based on Subdivision-Fusion Model—0
A Compact Kernel Approximation for 3D Action Recognition—0
Continuous Action Recognition Based on Sequence Alignment—0
Continuous Human Action Recognition for Human-Machine Interaction: A Review—0
Boosting Semi-Supervised Temporal Action Localization by Learning from Non-Target Classes—0
Action Recognition Based on Joint Trajectory Maps Using Convolutional Neural Networks—0
Adversarial Attacks for Optical Flow-Based Action Recognition Classifiers—0
Boosting Point-Supervised Temporal Action Localization through Integrating Query Reformation and Optimal Transport—0
Context-Aware Cross-Attention for Skeleton-Based Human Action Recognition—0
Adversarial Attack on Skeleton-based Human Action Recognition—0
Body Joint guided 3D Deep Convolutional Descriptors for Action Recognition—0
Boundary-Aware Proposal Generation Method for Temporal Action Localization—0
Boundary Content Graph Neural Network for Temporal Action Proposal Generation—0
BLP -- Boundary Likelihood Pinpointing Networks for Accurate Temporal Action Localization—0
Boundary Uncertainty in a Single-Stage Temporal Action Localization Network—0
Bregman Divergences for Infinite Dimensional Covariance Matrices—0
Bridge the Gap: From Weak to Full Supervision for Temporal Action Localization with PseudoFormer—0
Concurrence-Aware Long Short-Term Sub-Memories for Person-Person Action Recognition—0
Bridging the gap between Human Action Recognition and Online Action Detection—0
Context Aware Graph Convolution for Skeleton-Based Action Recognition—0
Blockwise Temporal-Spatial Pathway Network—0
Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach—0
Bio-Inspired Human Action Recognition using Hybrid Max-Product Neuro-Fuzzy Classifier and Quantum-Behaved PSO—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