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 1001–1050 of 1477 papers

TitleStatusHype
Learning Ensembles of Potential Functions for Structured Prediction With Latent Variables—0
Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs—0
Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts—0
Learning Human Pose Models from Synthesized Data for Robust RGB-D Action Recognition—0
Learning Latent Spatio-Temporal Compositional Model for Human Action Recognition—0
Learning Linear Dynamical Systems with High-Order Tensor Data for Skeleton based Action Recognition—0
Learning Mid-level Words on Riemannian Manifold for Action Recognition—0
Learning Multi-level Features For Sensor-based Human Action Recognition—0
Learning Optical Flow via Dilated Networks and Occlusion Reasoning—0
Learning person-object interactions for action recognition in still images—0
Learning Representative Temporal Features for Action Recognition—0
Learning Spatiotemporal Features for Infrared Action Recognition with 3D Convolutional Neural Networks—0
Learning Speech Representations from Raw Audio by Joint Audiovisual Self-Supervision—0
Learning to Learn from Noisy Web Videos—0
Learning to Recognize 3D Human Action from A New Skeleton-based Representation Using Deep Convolutional Neural Networks—0
Learning to Recognize Actions from Limited Training Examples Using a Recurrent Spiking Neural Model—0
Learning to Recognize Actions on Objects in Egocentric Video with Attention Dictionaries—0
Learning to Refactor Action and Co-occurrence Features for Temporal Action Localization—0
Learning to Score Sign Language with Two-stage Method—0
Learning to track for spatio-temporal action localization—0
Learning Transferable Self-attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision—0
Learning Video-Conditioned Policies for Unseen Manipulation Tasks—0
Learning without Prejudice: Avoiding Bias in Webly-Supervised Action Recognition—0
Learning zeroth class dictionary for human action recognition—0
Leveraging Foundation Model Automatic Data Augmentation Strategies and Skeletal Points for Hands Action Recognition in Industrial Assembly Lines—0
Leveraging Hierarchical Parametric Networks for Skeletal Joints Based Action Segmentation and Recognition—0
Towards Achieving Perfect Multimodal Alignment—0
Leveraging Random Label Memorization for Unsupervised Pre-Training—0
Developing the Path Signature Methodology and its Application to Landmark-based Human Action Recognition—0
Lie-X: Depth Image Based Articulated Object Pose Estimation, Tracking, and Action Recognition on Lie Groups—0
Linear-time Online Action Detection From 3D Skeletal Data Using Bags of Gesturelets—0
Locality preserving projection on SPD matrix Lie group: algorithm and analysis—0
Localized Trajectories for 2D and 3D Action Recognition—0
Localizing Moments of Actions in Untrimmed Videos of Infants with Autism Spectrum Disorder—0
LocATe: End-to-end Localization of Actions in 3D with Transformers—0
Log-Euclidean Bag of Words for Human Action Recognition—0
LoKi: Low-dimensional KAN for Efficient Fine-tuning Image Models—0
Long-Range Trajectories from Global and Local Motion Representations—0
Look, Listen, and Attack: Backdoor Attacks Against Video Action Recognition—0
LORTSAR: Low-Rank Transformer for Skeleton-based Action Recognition—0
LoSA: Long-Short-range Adapter for Scaling End-to-End Temporal Action Localization—0
Loss Guided Activation for Action Recognition in Still Images—0
Low-Fidelity End-to-End Video Encoder Pre-training for Temporal Action Localization—0
Low-Fidelity Video Encoder Optimization for Temporal Action Localization—0
Low-Latency Human Action Recognition with Weighted Multi-Region Convolutional Neural Network—0
Low Pass Filter for Anti-aliasing in Temporal Action Localization—0
LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks—0
Towards Train-Test Consistency for Semi-supervised Temporal Action Localization—0
M2-CLIP: A Multimodal, Multi-task Adapting Framework for Video Action Recognition—0
M^33D: Learning 3D priors using Multi-Modal Masked Autoencoders for 2D image and video 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