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 1101–1150 of 1477 papers

TitleStatusHype
Multi-Resolution Audio-Visual Feature Fusion for Temporal Action Localization—0
Multi-scale Motion-Aware Module for Video Action Recognition—0
Multi-Scale Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition—0
Multi-Task Clustering of Human Actions by Sharing Information—0
Multitask Non-Autoregressive Model for Human Motion Prediction—0
Multi-task Sparse Learning with Beta Process Prior for Action Recognition—0
Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation—0
Multi-velocity neural networks for gesture recognition in videos—0
Multiview Cauchy Estimator Feature Embedding for Depth and Inertial Sensor-Based Human Action Recognition—0
Multiview Hessian regularized logistic regression for action recognition—0
Multi-view knowledge distillation transformer for human action recognition—0
Multi-View Region Adaptive Multi-temporal DMM and RGB Action Recognition—0
Multi-View Super Vector for Action Recognition—0
Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT Devices—0
Mutual Context Network for Jointly Estimating Egocentric Gaze and Actions—0
Natural Language Descriptions for Human Activities in Video Streams—0
Neural Graph Matching Networks for Fewshot 3D Action Recognition—0
Representation Learning on Visual-Symbolic Graphs for Video Understanding—0
Non-Linear Temporal Subspace Representations for Activity Recognition—0
Nrityantar: Pose oblivious Indian classical dance sequence classification system—0
Object Activity Scene Description, Construction and Recognition—0
Object-Relation Reasoning Graph for Action Recognition—0
ODN: Opening the Deep Network for Open-set Action Recognition—0
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks—0
One-Shot Action Localization by Learning Sequence Matching Network—0
Online Action Recognition based on Incremental Learning of Weighted Covariance Descriptors—0
On the Importance of Video Action Recognition for Visual Lipreading—0
On the Integration of Optical Flow and Action Recognition—0
On the Role of Event Boundaries in Egocentric Activity Recognition from Photostreams—0
Open-Vocabulary Temporal Action Localization using Multimodal Guidance—0
Order-aware Convolutional Pooling for Video Based Action Recognition—0
Ordered Pooling of Optical Flow Sequences for Action Recognition—0
Origami: A 803 GOp/s/W Convolutional Network Accelerator—0
OWL (Observe, Watch, Listen): Audiovisual Temporal Context for Localizing Actions in Egocentric Videos—0
OwlSight: A Robust Illumination Adaptation Framework for Dark Video Human Action Recognition—0
PA3D: Pose-Action 3D Machine for Video Recognition—0
Pairwise Linear Regression Classification for Image Set Retrieval—0
Parallel Separable 3D Convolution for Video and Volumetric Data Understanding—0
PCBEAR: Pose Concept Bottleneck for Explainable Action Recognition—0
PcmNet: Position-Sensitive Context Modeling Network for Temporal Action Localization—0
P-CNN: Pose-based CNN Features for Action Recognition—0
PERF-Net: Pose Empowered RGB-Flow Net—0
Per-Sample Kernel Adaptation for Visual Recognition and Grouping—0
Persistent Homology of Attractors For Action Recognition—0
PeVL: Pose-Enhanced Vision-Language Model for Fine-Grained Human Action Recognition—0
PGCN-TCA: Pseudo Graph Convolutional Network With Temporal and Channel-Wise Attention for Skeleton-Based Action Recognition—0
PhysPT: Physics-aware Pretrained Transformer for Estimating Human Dynamics from Monocular Videos—0
Pillar Networks++: Distributed non-parametric deep and wide networks—0
PivoTAL: Prior-Driven Supervision for Weakly-Supervised Temporal Action Localization—0
PKU-MMD: A Large Scale Benchmark for Continuous Multi-Modal Human Action Understanding—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