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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1251–1300 of 1477 papers

TitleStatusHype
Discriminative Hierarchical Rank Pooling for Activity Recognition—0
Harnessing Object and Scene Semantics for Large-Scale Video Understanding—0
Force From Motion: Decoding Physical Sensation in a First Person Video—0
Temporal Action Localization With Pyramid of Score Distribution Features—0
A Key Volume Mining Deep Framework for Action Recognition—0
Thin-Slicing for Pose: Learning to Understand Pose Without Explicit Pose Estimation—0
What If We Do Not Have Multiple Videos of the Same Action? -- Video Action Localization Using Web Images—0
Mining 3D Key-Pose-Motifs for Action Recognition—0
VLAD3: Encoding Dynamics of Deep Features for Action Recognition—0
3D Action Recognition From Novel Viewpoints—0
Dynamic Image Networks for Action RecognitionCode0
Pairwise Linear Regression Classification for Image Set Retrieval—0
Efficient Temporal Sequence Comparison and Classification Using Gram Matrix Embeddings on a Riemannian Manifold—0
Fast Temporal Activity Proposals for Efficient Detection of Human Actions in Untrimmed Videos—0
Regularizing Long Short Term Memory With 3D Human-Skeleton Sequences for Action Recognition—0
Temporal Action Detection Using a Statistical Language ModelCode0
Progressively Parsing Interactional Objects for Fine Grained Action Detection—0
First Person Action Recognition Using Deep Learned Descriptors—0
You Lead, We Exceed: Labor-Free Video Concept Learning by Jointly Exploiting Web Videos and Images—0
A Multi-Stream Bi-Directional Recurrent Neural Network for Fine-Grained Action Detection—0
Cascaded Interactional Targeting Network for Egocentric Video Analysis—0
Action Classification via Concepts and Attributes—0
Going Deeper into Action Recognition: A Survey—0
Going Deeper into First-Person Activity Recognition—0
Action Recognition in Video Using Sparse Coding and Relative Features—0
Revisiting Human Action Recognition: Personalization vs. Generalization—0
Dominant Codewords Selection with Topic Model for Action Recognition—0
Improved Dense Trajectory with Cross Streams—0
Real-time Action Recognition with Enhanced Motion Vector CNNs—0
Actionness Estimation Using Hybrid Fully Convolutional Networks—0
Convolutional Two-Stream Network Fusion for Video Action RecognitionCode0
Kernelized Covariance for Action Recognition—0
Improving Human Action Recognition by Non-action Classification—0
The THUMOS Challenge on Action Recognition for Videos "in the Wild"—0
Online Human Action Detection using Joint Classification-Regression Recurrent Neural NetworksCode0
Long-term Temporal Convolutions for Action RecognitionCode0
Trajectory Aligned Features For First Person Action Recognition—0
Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding—0
Tensor Representations via Kernel Linearization for Action Recognition from 3D Skeletons (Extended Version)—0
Learning a Pose Lexicon for Semantic Action Recognition—0
Shuffle and Learn: Unsupervised Learning using Temporal Order Verification—0
Co-occurrence Feature Learning for Skeleton based Action Recognition using Regularized Deep LSTM Networks—0
Deep Multimodal Feature Analysis for Action Recognition in RGB+D Videos—0
Multi-velocity neural networks for gesture recognition in videos—0
Modelling Temporal Information Using Discrete Fourier Transform for Video Classification—0
Persistent Homology of Attractors For Action Recognition—0
Pose for Action - Action for Pose—0
Learning zeroth class dictionary for human action recognition—0
Support Vector Machines with Time Series Distance Kernels for Action ClassificationCode0
Robust Multi-body Feature Tracker: A Segmentation-free Approach—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