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 951–1000 of 1477 papers

TitleStatusHype
Video Domain Incremental Learning for Human Action Recognition in Home Environments—0
Video Is Graph: Structured Graph Module for Video Action Recognition—0
Video Jigsaw: Unsupervised Learning of Spatiotemporal Context for Video Action Recognition—0
VideoLightFormer: Lightweight Action Recognition using Transformers—0
Texture-Based Input Feature Selection for Action Recognition—0
Videoprompter: an ensemble of foundational models for zero-shot video understanding—0
Video Representation Learning Using Discriminative Pooling—0
Video-Specific Query-Key Attention Modeling for Weakly-Supervised Temporal Action Localization—0
View-invariant action recognition—0
View-invariant Deep Architecture for Human Action Recognition using late fusion—0
View invariant human action recognition using histograms of 3D joints—0
View-Invariant Skeleton-based Action Recognition via Global-Local Contrastive Learning—0
Viewpoint Invariant Action Recognition using RGB-D Videos—0
Vision and Inertial Sensing Fusion for Human Action Recognition : A Review—0
Vision Transformers for Action Recognition: A Survey—0
Visual Attribute-augmented Three-dimensional Convolutional Neural Network for Enhanced Human Action Recognition—0
Visual WetlandBirds Dataset: Bird Species Identification and Behavior Recognition in Videos—0
VLAD3: Encoding Dynamics of Deep Features for Action Recognition—0
VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding—0
Adversarial Framework for Unsupervised Learning of Motion Dynamics in Videos—0
Weakly-Supervised Action Localization and Action Recognition using Global-Local Attention of 3D CNN—0
Weakly Supervised Gaussian Networks for Action Detection—0
Weakly Supervised Temporal Action Localization Through Contrast Based Evaluation Networks—0
Weakly Supervised Temporal Action Localization with Segment-Level Labels—0
Weakly Supervised Temporal Action Localization Through Learning Explicit Subspaces for Action and Context—0
Weakly-Supervised Temporal Action Localization Through Local-Global Background Modeling—0
Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models—0
We Can "See" You via Wi-Fi - WiFi Action Recognition via Vision-based Methods—0
What do 15,000 Object Categories Tell Us About Classifying and Localizing Actions?—0
What do I Annotate Next? An Empirical Study of Active Learning for Action Localization—0
What have we learned from deep representations for action recognition?—0
What If We Do Not Have Multiple Videos of the Same Action? -- Video Action Localization Using Web Images—0
When Kernel Methods meet Feature Learning: Log-Covariance Network for Action Recognition from Skeletal Data—0
When Spatial meets Temporal in Action Recognition—0
Where and when to look? Spatial-temporal attention for action recognition in videos—0
YH Technologies at ActivityNet Challenge 2018—0
You Lead, We Exceed: Labor-Free Video Concept Learning by Jointly Exploiting Web Videos and Images—0
Zero-Shot Action Recognition in Videos: A Survey—0
Zero-Shot Action Recognition With Error-Correcting Output Codes—0
Zero-Shot Visual Recognition via Bidirectional Latent Embedding—0
Enhancing Human Action Recognition and Violence Detection Through Deep Learning Audiovisual Fusion—0
Online Temporal Action Localization with Memory-Augmented Transformer—0
2D versus 3D Convolutional Spiking Neural Networks Trained with Unsupervised STDP for Human Action Recognition—0
3D Action Recognition From Novel Viewpoints—0
3D Convolutional Neural Networks for Ultrasound-Based Silent Speech Interfaces—0
3D Convolutional with Attention for Action Recognition—0
3DFCNN: Real-Time Action Recognition using 3D Deep Neural Networks with Raw Depth Information—0
3D Human Action Recognition with Siamese-LSTM Based Deep Metric Learning—0
3D ResNet with Ranking Loss Function for Abnormal Activity Detection in Videos—0
3D R Transform on Spatio-temporal Interest Points for 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