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

Showing 13011350 of 1477 papers

TitleStatusHype
Segmental Spatiotemporal CNNs for Fine-grained Action Segmentation0
Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors0
Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions0
Learning a Deep Model for Human Action Recognition from Novel Viewpoints0
Combining ConvNets with Hand-Crafted Features for Action Recognition Based on an HMM-SVM Classifier0
Order-aware Convolutional Pooling for Video Based Action Recognition0
RGB-D-based Action Recognition Datasets: A Survey0
Face-space Action Recognition by Face-Object Interactions0
Temporal Action Localization in Untrimmed Videos via Multi-stage CNNsCode0
Convolutional Architecture Exploration for Action Recognition and Image Classification0
Do Less and Achieve More: Training CNNs for Action Recognition Utilizing Action Images from the Web0
Harnessing the Deep Net Object Models for Enhancing Human Action Recognition0
Origami: A 803 GOp/s/W Convolutional Network Accelerator0
Action Recognition with Image Based CNN Features0
RNN Fisher Vectors for Action Recognition and Image Annotation0
Explaining NonLinear Classification Decisions with Deep Taylor DecompositionCode0
Rank Pooling for Action RecognitionCode0
Actions ~ TransformationsCode0
Unsupervised Domain Adaptation for Zero-Shot Learning0
Action Detection by Implicit Intentional Motion Clustering0
Recursive Frechet Mean Computation on the Grassmannian and its Applications to Computer Vision0
Actionness-Assisted Recognition of Actions0
Category-Blind Human Action Recognition: A Practical Recognition System0
Beyond Covariance: Feature Representation With Nonlinear Kernel Matrices0
Per-Sample Kernel Adaptation for Visual Recognition and Grouping0
Bayesian Non-Parametric Inference for Manifold Based MoCap Representation0
Learning Ensembles of Potential Functions for Structured Prediction With Latent Variables0
Fine-Grain Annotation of Cricket Videos0
End-to-end Learning of Action Detection from Frame Glimpses in VideosCode0
Delving Deeper into Convolutional Networks for Learning Video RepresentationsCode0
From Pose to Activity: Surveying Datasets and Introducing CONVERSE0
Collecting and Annotating the Large Continuous Action Dataset0
Hierarchical Spatial Sum-Product Networks for Action Recognition in Still Images0
Handcrafted Local Features are Convolutional Neural Networks0
Learning Mid-level Words on Riemannian Manifold for Action Recognition0
Transductive Zero-Shot Action Recognition by Word-Vector Embedding0
Improving performance of recurrent neural network with relu nonlinearity0
Action Recognition using Visual AttentionCode0
Hand-Object Interaction and Precise Localization in Transitive Action Recognition0
Online Action Recognition based on Incremental Learning of Weighted Covariance Descriptors0
Pooling the Convolutional Layers in Deep ConvNets for Action Recognition0
Action recognition from depth maps using deep convolutional neural networks0
Beyond Spatial Pyramid Matching: Space-time Extended Descriptor for Action Recognition0
A Novel Approach for Human Action Recognition from Silhouette Images0
Human Action Recognition using Factorized Spatio-Temporal Convolutional Networks0
Long-Range Trajectories from Global and Local Motion Representations0
Hyper-Fisher Vectors for Action Recognition0
Bio-Inspired Human Action Recognition using Hybrid Max-Product Neuro-Fuzzy Classifier and Quantum-Behaved PSO0
Manipulated Object Proposal: A Discriminative Object Extraction and Feature Fusion Framework for First-Person Daily Activity Recognition0
Action Recognition by Hierarchical Mid-level Action Elements0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AdaTAD (VideoMAEv2-giant)Avg mAP (0.3:0.7)76.9Unverified
2RDFA-S6 (InternVideo2-6B)Avg mAP (0.3:0.7)74.2Unverified
3ActionMamba(InternVideo2-6B)Avg mAP (0.3:0.7)72.72Unverified
4GCMmAP IOU@0.172.5Unverified
5AGT (Ours)mAP IOU@0.172.1Unverified
6InternVideo2-6BAvg mAP (0.3:0.7)72Unverified
7ActionFormer (InternVideo features)Avg mAP (0.3:0.7)71.58Unverified
8TriDet (VideoMAE v2-g feature)Avg mAP (0.3:0.7)70.1Unverified
9InternVideo2-1BAvg mAP (0.3:0.7)69.8Unverified
10ActionFormer (VideoMAE V2-g features)Avg mAP (0.3:0.7)69.6Unverified
#ModelMetricClaimedVerifiedStatus
1UnLoc-LmAP IOU@0.559.3Unverified
2RDFA-S6 (InternVideo2-6B)mAP42.9Unverified
3ActionMamba (InternVideo2-6B)mAP42.02Unverified
4PRN+BMN (ensemble)mAP42Unverified
5AdaTAD (VideoMAEv2-giant)mAP41.93Unverified
6InternVideo2-6BmAP41.2Unverified
7InternVideo2-1BmAP40.4Unverified
8UniMD+Sync.mAP39.83Unverified
9PRN (CSN)mAP39.4Unverified
10InternVideomAP39Unverified
#ModelMetricClaimedVerifiedStatus
1RDFA-S6 (InternVideo2-6B)Average-mAP45.8Unverified
2ActionMamba(InternVideo2-6B)Average-mAP44.56Unverified
3DyFADet(VideoMAEv2)Average-mAP44.3Unverified
4InternVideo2-6BAverage-mAP43.3Unverified
5TriDet (VideoMAEv2)Average-mAP43.1Unverified
6InternVideo2-1BAverage-mAP42.4Unverified
7InternVideoAverage-mAP41.55Unverified
8TriDet (SlowFast)Average-mAP38.6Unverified
9TriDet (I3D RGB)Average-mAP36.8Unverified
10TadTr (I3D RGB)Average-mAP32.09Unverified
#ModelMetricClaimedVerifiedStatus
1RDFA-S6 (InternVideo2-6B)mAP29.6Unverified
2ActionMamba(InternVideo2-6B)mAP29.04Unverified
3InternVideo2-6BmAP27.7Unverified
4DyFADet (VideoMAE v2-g)mAP23.8Unverified
5VideoMAE V2-gmAP18.24Unverified
6InternVideomAP17.57Unverified
7BMN (i3d feaure)mAP9.25Unverified
8G-TAD (i3d feature)mAP9.06Unverified
9DBG (i3d feature)mAP6.75Unverified
#ModelMetricClaimedVerifiedStatus
1TriDet (VideoMAEv2)Average mAP37.5Unverified
2DualDETR (I3D-rgb)Average mAP32.64Unverified
3TriDet (I3D-rgb)Average mAP30.7Unverified
4TemporalMaxerAverage mAP29.9Unverified
5PointTADAverage mAP23.5Unverified
6PDANAverage mAP17.3Unverified
7MS-TCTAverage mAP16.2Unverified
8MLADAverage mAP14.2Unverified
#ModelMetricClaimedVerifiedStatus
1VideoCLIPRecall47.3Unverified
2VLMRecall46.5Unverified
3TACoRecall42.5Unverified
4Text-Video EmbeddingRecall33.6Unverified
5Fully-supervised upper-boundRecall31.6Unverified
6ZhukovRecall22.4Unverified
7AlayracRecall13.3Unverified
#ModelMetricClaimedVerifiedStatus
1AdaTAD (verb, VideoMAE-L)Avg mAP (0.1-0.5)29.3Unverified
2TriDet (verb)Avg mAP (0.1-0.5)25.4Unverified
3TemporalMaxer (verb)Avg mAP (0.1-0.5)24.5Unverified
4ActionFormer (verb)Avg mAP (0.1-0.5)23.5Unverified
5G-TAD (verb)Avg mAP (0.1-0.5)9.4Unverified
6BMN (verb)Avg mAP (0.1-0.5)8.4Unverified
#ModelMetricClaimedVerifiedStatus
1TemporalMaxermAP27.2Unverified
2MUSESmAP18.6Unverified
#ModelMetricClaimedVerifiedStatus
1DeepMetricLearnermAP IOU@0.535.2Unverified
#ModelMetricClaimedVerifiedStatus
1ActionFormer (SlowFast+Omnivore+EgoVLP)Average mAP21.76Unverified
#ModelMetricClaimedVerifiedStatus
1ActionFormer (SlowFast+Omnivore+EgoVLP)Average mAP21.4Unverified
#ModelMetricClaimedVerifiedStatus
1S-CNNmAP7.4Unverified