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 651–700 of 1477 papers

TitleStatusHype
Human Action Recognition with Deep Temporal Pyramids—0
Human Action Recognition with Multi-Laplacian Graph Convolutional Networks—0
Human Action Recognition without Human—0
A Novel Approach for Robust Multi Human Action Recognition and Summarization based on 3D Convolutional Neural Networks—0
Graph Convolutional Module for Temporal Action Localization in Videos—0
HyLiFormer: Hyperbolic Linear Attention for Skeleton-based Human Action Recognition—0
Hyper-Fisher Vectors for Action Recognition—0
Cricket stroke extraction: Towards creation of a large-scale cricket actions dataset—0
iCub! Do you recognize what I am doing?: multimodal human action recognition on multisensory-enabled iCub robot—0
IF-TTN: Information Fused Temporal Transformation Network for Video Action Recognition—0
Cross Domain Model Compression by Structurally Weight Sharing—0
Image and Video Mining through Online Learning—0
Image-based OoD-Detector Principles on Graph-based Input Data in Human Action Recognition—0
Improved Dense Trajectory with Cross Streams—0
Learning Actionness via Long-range Temporal Order Verification—0
Learning Action Recognition Model From Depth and Skeleton Videos—0
Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions—0
Improving Continuous Sign Language Recognition: Speech Recognition Techniques and System Design—0
Improving Human Action Recognition by Non-action Classification—0
Improving Interpretability of Deep Neural Networks with Semantic Information—0
Improving performance of recurrent neural network with relu nonlinearity—0
Improving the Multi-label Atomic Activity Recognition by Robust Visual Feature and Advanced Attention @ ROAD++ Atomic Activity Recognition 2024—0
Improving Video Violence Recognition with Human Interaction Learning on 3D Skeleton Point Clouds—0
Gradient Frequency Modulation for Visually Explaining Video Understanding Models—0
Including Semantic Information via Word Embeddings for Skeleton-based Action Recognition—0
IndGIC: Supervised Action Recognition under Low Illumination—0
Inertial Sensor Data To Image Encoding For Human Action Recognition—0
Informed Democracy: Voting-based Novelty Detection for Action Recognition—0
Action Recognition in Video Using Sparse Coding and Relative Features—0
Gradient Boundary Histograms for Action Recognition—0
Combining Spatio-Temporal Appearance Descriptors and Optical Flow for Human Action Recognition in Video Data—0
Interact Before Align: Leveraging Cross-Modal Knowledge for Domain Adaptive Action Recognition—0
Interaction Part Mining: A Mid-Level Approach for Fine-Grained Action Recognition—0
Learning a Deep Model for Human Action Recognition from Novel Viewpoints—0
Learning and Refining of Privileged Information-based RNNs for Action Recognition from Depth Sequences—0
Curvature: A signature for Action Recognition in Video Sequences—0
Learning discriminative trajectorylet detector sets for accurate skeleton-based action recognition—0
In the Eye of Beholder: Joint Learning of Gaze and Actions in First Person Video—0
Learning Multi-level Features For Sensor-based Human Action Recognition—0
Investigation on Combining 3D Convolution of Image Data and Optical Flow to Generate Temporal Action Proposals—0
Invisible-to-Visible: Privacy-Aware Human Instance Segmentation using Airborne Ultrasound via Collaborative Learning Variational Autoencoder—0
Going Deeper into First-Person Activity Recognition—0
Action Class Relation Detection and Classification Across Multiple Video Datasets—0
JCDNet: Joint of Common and Definite phases Network for Weakly Supervised Temporal Action Localization—0
Going Deeper into Action Recognition: A Survey—0
Joint Action Recognition and Pose Estimation From Video—0
Combining Deep Learning Classifiers for 3D Action Recognition—0
Joint-bone Fusion Graph Convolutional Network for Semi-supervised Skeleton Action Recognition—0
Joint Denoising / Compression of Image Contours via Shape Prior and Context Tree—0
Global Temporal Representation based CNNs for Infrared Action Recognition—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