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 551–600 of 1477 papers

TitleStatusHype
Emotion-Based Crowd Representation for Abnormality Detection—0
Blockwise Temporal-Spatial Pathway Network—0
ElderSim: A Synthetic Data Generation Platform for Human Action Recognition in Eldercare Applications—0
Bio-Inspired Human Action Recognition using Hybrid Max-Product Neuro-Fuzzy Classifier and Quantum-Behaved PSO—0
Advances in Human Action Recognition: A Survey—0
Elastic Functional Coding of Human Actions: From Vector-Fields to Latent Variables—0
Eigen Evolution Pooling for Human Action Recognition—0
Binary Coding for Partial Action Analysis With Limited Observation Ratios—0
EgoPCA: A New Framework for Egocentric Hand-Object Interaction Understanding—0
Ego-Only: Egocentric Action Detection without Exocentric Transferring—0
Bilinear Heterogeneous Information Machine for RGB-D Action Recognition—0
ADM-Loc: Actionness Distribution Modeling for Point-supervised Temporal Action Localization—0
Egocentric Hand Track and Object-based Human Action Recognition—0
Egocentric Hand Detection Via Dynamic Region Growing—0
Efficient Temporal Sequence Comparison and Classification Using Gram Matrix Embeddings on a Riemannian Manifold—0
BID: Boundary-Interior Decoding for Unsupervised Temporal Action Localization Pre-Trainin—0
Efficient Nonlinear Markov Models for Human Motion—0
Efficient Feature Extraction, Encoding and Classification for Action Recognition—0
Efficient Action Localization with Approximately Normalized Fisher Vectors—0
Efficient Action Detection in Untrimmed Videos via Multi-Task Learning—0
Beyond Spatial Pyramid Matching: Space-time Extended Descriptor for Action Recognition—0
Beyond Gaussian Pyramid: Multi-skip Feature Stacking for Action Recognition—0
A discussion on the validation tests employed to compare human action recognition methods using the MSR Action3D dataset—0
Action Recognition Based on Joint Trajectory Maps with Convolutional Neural Networks—0
3D Convolutional with Attention for Action Recognition—0
EA-VTR: Event-Aware Video-Text Retrieval—0
Beyond Covariance: Feature Representation With Nonlinear Kernel Matrices—0
DynamoNet: Dynamic Action and Motion Network—0
Better Exploiting Motion for Better Action Recognition—0
A Deep Learning Approach for Real-Time 3D Human Action Recognition from Skeletal Data—0
Dynamic Probabilistic Network Based Human Action Recognition—0
Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models—0
Dynamic Matrix Decomposition for Action Recognition—0
Dynamic Inference: A New Approach Toward Efficient Video Action Recognition—0
Benchmarking Conventional Vision Models on Neuromorphic Fall Detection and Action Recognition Dataset—0
Adding Attentiveness to the Neurons in Recurrent Neural Networks—0
Dynamic Graph Modules for Modeling Object-Object Interactions in Activity Recognition—0
Dynamic Appearance: A Video Representation for Action Recognition with Joint Training—0
Dynamically Encoded Actions Based on Spacetime Saliency—0
Bayesian Non-Parametric Inference for Manifold Based MoCap Representation—0
Dynamic Action Recognition: A convolutional neural network model for temporally organized joint location data—0
Dual DETRs for Multi-Label Temporal Action Detection—0
Bag of Visual Words and Fusion Methods for Action Recognition: Comprehensive Study and Good Practice—0
AdaScan: Adaptive Scan Pooling in Deep Convolutional Neural Networks for Human Action Recognition in Videos—0
Adaptive RNN Tree for Large-Scale Human Action Recognition—0
DTG-Net: Differentiated Teachers Guided Self-Supervised Video Action Recognition—0
Knowledge Distillation for Human Action Anticipation—0
Down-Sampling coupled to Elastic Kernel Machines for Efficient Recognition of Isolated Gestures—0
Dominant Codewords Selection with Topic Model for Action Recognition—0
Adaptive Perception Transformer for Temporal Action Localization—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