SOTAVerified

Action Detection

Action Detection aims to find both where and when an action occurs within a video clip and classify what the action is taking place. Typically results are given in the form of action tublets, which are action bounding boxes linked across time in the video. This is related to temporal localization, which seeks to identify the start and end frame of an action, and action recognition, which seeks only to classify which action is taking place and typically assumes a trimmed video.

Papers

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Showing 651–700 of 817 papers

TitleStatusHype
Recursive Binary Neural Network Learning Model with 2-bit/weight Storage Requirement—0
Reformulating Zero-shot Action Recognition for Multi-label Actions—0
Relation Modeling in Spatio-Temporal Action Localization—0
Review on Action Recognition for Accident Detection in Smart City Transportation Systems—0
Revisiting Few-shot Activity Detection with Class Similarity Control—0
RIS Assisted Device Activity Detection with Statistical Channel State Information—0
Risk Analysis and Prevention: LELIE, a Tool dedicated to Procedure and Requirement Authoring—0
Zero-Shot Imitating Collaborative Manipulation Plans from YouTube Cooking Videos—0
Robust Activity Detection for Massive Random Access—0
Robust Learning-Based Sparse Recovery for Device Activity Detection in Grant-Free Random Access Cell-Free Massive MIMO: Enhancing Resilience to Impairments—0
Robust Two-Stream Multi-Feature Network for Driver Drowsiness Detection—0
SALAD: Self-Assessment Learning for Action Detection—0
SCC: Semantic Context Cascade for Efficient Action Detection—0
SegCodeNet: Color-Coded Segmentation Masks for Activity Detection from Wearable Cameras—0
Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection—0
SegTAD: Precise Temporal Action Detection via Semantic Segmentation—0
Self-Adaptive Soft Voice Activity Detection using Deep Neural Networks for Robust Speaker Verification—0
Self-Denoising Neural Networks for Few Shot Learning—0
Self-Feedback DETR for Temporal Action Detection—0
Self-supervised Pretraining for Robust Personalized Voice Activity Detection in Adverse Conditions—0
Semantic VAD: Low-Latency Voice Activity Detection for Speech Interaction—0
Semi-supervised acoustic modelling for five-lingual code-switched ASR using automatically-segmented soap opera speech—0
Semi-supervised Acoustic Modelling for Five-lingual Code-switched ASR using Automatically-segmented Soap Opera Speech—0
Sensing Framework Design and Performance Optimization with Action Detection for ISCC—0
Sequence Block based Compressed Sensing Multiuser Detection for 5G—0
Sequence-to-Sequence Neural Diarization with Automatic Speaker Detection and Representation—0
Siamese Neural Networks for Class Activity Detection—0
Signed Latent Factors for Spamming Activity Detection—0
Similarity R-C3D for Few-shot Temporal Activity Detection—0
Simultaneous Speech Extraction for Multiple Target Speakers under the Meeting Scenarios—0
Single-Microphone Speaker Separation and Voice Activity Detection in Noisy and Reverberant Environments—0
Skeleton Boxes: Solving skeleton based action detection with a single deep convolutional neural network—0
SkeleTR: Towards Skeleton-based Action Recognition in the Wild—0
SkeleTR: Towrads Skeleton-based Action Recognition in the Wild—0
Smart Black Box 2.0: Efficient High-bandwidth Driving Data Collection based on Video Anomalies—0
Sparse Activity Discovery in Energy Constrained Multi-Cluster IoT Networks Using Group Testing—0
Sparse Signal Processing for Massive Connectivity via Mixed-Integer Programming—0
Spatial Correlation Aware Compressed Sensing for User Activity Detection and Channel Estimation in Massive MTC—0
Spatial Morphing Kernel Regression For Feature Interpolation—0
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video UnderstandingCode0
MaCLR: Motion-aware Contrastive Learning of Representations for VideosCode0
Weakly-guided Self-supervised Pretraining for Temporal Activity DetectionCode0
Modality Distillation with Multiple Stream Networks for Action RecognitionCode0
Action Sets: Weakly Supervised Action Segmentation without Ordering ConstraintsCode0
Am I Done? Predicting Action Progress in VideosCode0
TokenVerse: Towards Unifying Speech and NLP Tasks via Transducer-based ASRCode0
Semi-supervised Active Learning for Video Action DetectionCode0
Exploring Modulated Detection Transformer as a Tool for Action Recognition in VideosCode0
MINOTAUR: Multi-task Video Grounding From Multimodal QueriesCode0
Weakly-supervised Visual Instrument-playing Action Detection in VideosCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1STAR/LFrame-mAP 0.590.3—Unverified
2SiAFrame-mAP 0.588.5—Unverified
3YOWO + LFBFrame-mAP 0.587.3—Unverified
4HITFrame-mAP 0.584.8—Unverified
5HISAN (ResNet-101 + FPN)Video-mAP 0.282.3—Unverified
6YOWOFrame-mAP 0.580.4—Unverified
7Two-in-one Two StreamVideo-mAP 0.278.48—Unverified
8MOCFrame-mAP 0.577.8—Unverified
9Faster-RCNN + two-stream I3D convFrame-mAP 0.576.3—Unverified
10Two-in-oneVideo-mAP 0.275.48—Unverified
#ModelMetricClaimedVerifiedStatus
1SiAFrame-mAP 0.588.5—Unverified
2HISAN (ResNet-101 + FPN)Video-mAP 0.287.59—Unverified
3HITFrame-mAP 0.583.8—Unverified
4HISAN (VGG-16)Frame-mAP 0.576.72—Unverified
5DTSVideo-mAP 0.276.1—Unverified
6YOWO + LFBFrame-mAP 0.575.7—Unverified
7Two-in-one Two StreamVideo-mAP 0.574.74—Unverified
8YOWOFrame-mAP 0.574.4—Unverified
9MOCFrame-mAP 0.574—Unverified
10Faster-RCNN + two-stream I3D convFrame-mAP 0.573.3—Unverified
#ModelMetricClaimedVerifiedStatus
1TTMmAP28.79—Unverified
2CTRNmAP27.8—Unverified
3Coarse-Fine Networks (w/ self-supervised detection pretraining)mAP26.95—Unverified
4UniMD+Sync. (RGB+Flow)mAP26.53—Unverified
5PDAN (RGB+Flow)mAP26.5—Unverified
6PATmAP26.5—Unverified
7MS-TCT (RGB only)mAP25.4—Unverified
83D ResNet-50 + super-events pretrained on AViDmAP25.2—Unverified
9Coarse-Fine NetworksmAP25.1—Unverified
10MLAD (RGB + Flow)mAP23.7—Unverified
#ModelMetricClaimedVerifiedStatus
1MLADmAP51.5—Unverified
2CTRNmAP51.2—Unverified
3PDANmAP47.6—Unverified
4TGMmAP46.4—Unverified
5MS-TCT (RGB only)mAP43.1—Unverified
6I3D + our super-eventmAP36.4—Unverified
7Two-stream + LSTMmAP28.1—Unverified
8Two-streammAP27.6—Unverified
#ModelMetricClaimedVerifiedStatus
1Two-in-one Two StreamVideo-mAP 0.596.52—Unverified
2DTSVideo-mAP 0.294.3—Unverified
3Two-in-oneVideo-mAP 0.592.74—Unverified
4T-CNNFrame-mAP 0.586.7—Unverified
5MR-TS R-CNNFrame-mAP 0.584.52—Unverified
6TS R-CNNFrame-mAP 0.582.3—Unverified
7Action TubesFrame-mAP 0.568.1—Unverified
#ModelMetricClaimedVerifiedStatus
1MAT (Ours) TransmAP71.6—Unverified
2TadML-two streammAP59.7—Unverified
3MAT (ours)mAP58.2—Unverified
4TadML-rgbmAP53.46—Unverified
#ModelMetricClaimedVerifiedStatus
1HITFrame-mAP 0.533.3—Unverified
2SiAFrame-mAP 0.528.8—Unverified
#ModelMetricClaimedVerifiedStatus
1MS-TCTFrame-mAP33.7—Unverified
2PDANFrame-mAP32.7—Unverified
#ModelMetricClaimedVerifiedStatus
1STCNNIoU0.14—Unverified
2Two Stream NetworkIoU0.07—Unverified
#ModelMetricClaimedVerifiedStatus
1STCNN-V2 (Vote decision)IoU0.52—Unverified
2RGB and PRGBIoU0.35—Unverified
#ModelMetricClaimedVerifiedStatus
1PATmAP44.6—Unverified