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
Detecting Hands in Egocentric Videos: Towards Action Recognition—0
Detection of Manipulation Action Consequences (MAC)—0
Detekcja upadku i wybranych akcji na sekwencjach obrazów cyfrowych—0
DevNet: A Deep Event Network for Multimedia Event Detection and Evidence Recounting—0
Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution—0
Differentiable Frequency-based Disentanglement for Aerial Video Action Recognition—0
Differential Recurrent Neural Networks for Action Recognition—0
Direct Dense Pose Estimation—0
Discriminative Bayesian Dictionary Learning for Classification—0
Discriminative convolutional Fisher vector network for action recognition—0
Discriminative Hierarchical Rank Pooling for Activity Recognition—0
Discriminatively Trained Latent Ordinal Model for Video Classification—0
DiscrimNet: Semi-Supervised Action Recognition from Videos using Generative Adversarial Networks—0
Distilling Knowledge from CNN-Transformer Models for Enhanced Human Action Recognition—0
Distilling Vision-Language Pre-training to Collaborate with Weakly-Supervised Temporal Action Localization—0
DistInit: Learning Video Representations Without a Single Labeled Video—0
Distributed non-parametric deep and wide networks—0
Distribution of Action Movements (DAM): A Descriptor for Human Action Recognition—0
Divide and Conquer for Single-Frame Temporal Action Localization—0
Dividing and Aggregating Network for Multi-view Action Recognition—0
DIY Human Action Data Set Generation—0
DL-KDD: Dual-Light Knowledge Distillation for Action Recognition in the Dark—0
DL-SFA: Deeply-Learned Slow Feature Analysis for Action Recognition—0
DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition—0
Do Less and Achieve More: Training CNNs for Action Recognition Utilizing Action Images from the Web—0
Dominant Codewords Selection with Topic Model for Action Recognition—0
Down-Sampling coupled to Elastic Kernel Machines for Efficient Recognition of Isolated Gestures—0
DTG-Net: Differentiated Teachers Guided Self-Supervised Video Action Recognition—0
Dual DETRs for Multi-Label Temporal Action Detection—0
Dynamic Action Recognition: A convolutional neural network model for temporally organized joint location data—0
Dynamically Encoded Actions Based on Spacetime Saliency—0
Dynamic Appearance: A Video Representation for Action Recognition with Joint Training—0
Dynamic Graph Modules for Modeling Object-Object Interactions in Activity Recognition—0
Dynamic Inference: A New Approach Toward Efficient Video Action Recognition—0
Dynamic Matrix Decomposition for Action Recognition—0
Dynamic Probabilistic Network Based Human Action Recognition—0
DynamoNet: Dynamic Action and Motion Network—0
EA-VTR: Event-Aware Video-Text Retrieval—0
Efficient Action Detection in Untrimmed Videos via Multi-Task Learning—0
Efficient Action Localization with Approximately Normalized Fisher Vectors—0
Efficient Feature Extraction, Encoding and Classification for Action Recognition—0
Efficient Nonlinear Markov Models for Human Motion—0
Efficient Temporal Sequence Comparison and Classification Using Gram Matrix Embeddings on a Riemannian Manifold—0
Egocentric Hand Detection Via Dynamic Region Growing—0
Egocentric Hand Track and Object-based Human Action Recognition—0
Ego-Only: Egocentric Action Detection without Exocentric Transferring—0
EgoPCA: A New Framework for Egocentric Hand-Object Interaction Understanding—0
Eigen Evolution Pooling for Human Action Recognition—0
Elastic Functional Coding of Human Actions: From Vector-Fields to Latent Variables—0
ElderSim: A Synthetic Data Generation Platform for Human Action Recognition in Eldercare Applications—0
Show:102550
← PrevPage 26 of 30Next →
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