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 501–550 of 817 papers

TitleStatusHype
Smart Black Box 2.0: Efficient High-bandwidth Driving Data Collection based on Video Anomalies—0
Watch Only Once: An End-to-End Video Action Detection Framework—0
Towards Improving Spatiotemporal Action Recognition in VideosCode0
AV Taris: Online Audio-Visual Speech RecognitionCode1
Spatial-Temporal Alignment Network for Action Recognition and Detection—0
MEVA: A Large-Scale Multiview, Multimodal Video Dataset for Activity Detection—0
VoxLingua107: a Dataset for Spoken Language RecognitionCode1
VOXLINGUA107: A DATASET FOR SPOKEN LANGUAGE RECOGNITION—0
Nudge: Accelerating Overdue Pull Requests Towards Completion—0
Temporal Action Detection with Multi-level Supervision—0
We don't Need Thousand Proposals Single Shot Actor-Action Detection in VideosCode0
From Recognition to Prediction: Analysis of Human Action and Trajectory Prediction in VideoCode1
Privileged Knowledge Distillation for Online Action Detection—0
A Time-Frequency based Suspicious Activity Detection for Anti-Money Laundering—0
LAP-Net: Adaptive Features Sampling via Learning Action Progression for Online Action Detection—0
SALAD: Self-Assessment Learning for Action Detection—0
Toyota Smarthome Untrimmed: Real-World Untrimmed Videos for Activity DetectionCode0
MarbleNet: Deep 1D Time-Channel Separable Convolutional Neural Network for Voice Activity Detection—0
Activity Detection And Modeling Using Smart Meter Data: Concept And Case Studies—0
Multi-Channel Speaker Verification for Single and Multi-talker Speech—0
Speech enhancement aided end-to-end multi-task learning for voice activity detection—0
Combination of Deep Speaker Embeddings for Diarisation—0
The HUAWEI Speaker Diarisation System for the VoxCeleb Speaker Diarisation Challenge—0
An Efficient Algorithm for Device Detection and Channel Estimation in Asynchronous IoT Systems—0
Robust Two-Stream Multi-Feature Network for Driver Drowsiness Detection—0
The "Sound of Silence" in EEG -- Cognitive voice activity detection—0
Online Action Detection in Streaming Videos with Time Buffers—0
A Unified Deep Learning Framework for Short-Duration Speaker Verification in Adverse Environments—0
Grant-Free Access via Bilinear Inference for Cell-Free MIMO with Low-Coherent Pilots—0
Learning Visual Voice Activity Detection with an Automatically Annotated Dataset—0
TRECVID 2019: An Evaluation Campaign to Benchmark Video Activity Detection, Video Captioning and Matching, and Video Search & Retrieval—0
On Multitask Loss Function for Audio Event Detection and Localization—0
Massive Machine Type Communication Pilot-Hopping Sequence Detection Architectures Based on Non-Negative Least Squares for Grant-Free Random Access—0
Online Spatiotemporal Action Detection and Prediction via Causal RepresentationsCode0
Finding Action Tubes with a Sparse-to-Dense Framework—0
RespVAD: Voice Activity Detection via Video-Extracted Respiration PatternsCode0
SegCodeNet: Color-Coded Segmentation Masks for Activity Detection from Wearable Cameras—0
CFAD: Coarse-to-Fine Action Detector for Spatiotemporal Action Localization—0
MLNET: An Adaptive Multiple Receptive-field Attention Neural Network for Voice Activity Detection—0
A Multi-Task Learning Approach for Human Activity Segmentation and Ergonomics Risk AssessmentCode0
Multi-Level Temporal Pyramid Network for Action Detection—0
Jointly Sparse Signal Recovery and Support Recovery via Deep Learning with Applications in MIMO-based Grant-Free Random Access—0
Boundary Content Graph Neural Network for Temporal Action Proposal Generation—0
"This is Houston. Say again, please". The Behavox system for the Apollo-11 Fearless Steps Challenge (phase II)—0
Towards Efficient Coarse-to-Fine Networks for Action and Gesture Recognition—0
Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural NetworksCode1
Statistical and Neural Network Based Speech Activity Detection in Non-Stationary Acoustic Environments—0
Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos—0
Context-Aware RCNN: A Baseline for Action Detection in VideosCode1
AViD Dataset: Anonymized Videos from Diverse CountriesCode1
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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