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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–350 of 817 papers

TitleStatusHype
An End-to-end 3D Convolutional Neural Network for Action Detection and Segmentation in Videos—0
Cascaded Boundary Regression for Temporal Action Detection—0
Group Event Detection with a Varying Number of Group Members for Video Surveillance—0
Group Activity Detection from Trajectory and Video Data in Soccer—0
CADDI: An in-Class Activity Detection Dataset using IMU data from low-cost sensors—0
Joint Estimation of Clustered User Activity and Correlated Channels with Unknown Covariance in mMTC—0
Joint Speech Activity and Overlap Detection with Multi-Exit Architecture—0
JRDB-Act: A Large-scale Dataset for Spatio-temporal Action, Social Group and Activity Detection—0
Building Accurate Low Latency ASR for Streaming Voice Search—0
Grant-free Massive Random Access with Retransmission: Receiver Optimization and Performance Analysis—0
Grant-Free Access via Bilinear Inference for Cell-Free MIMO with Low-Coherent Pilots—0
ACT360: An Efficient 360-Degree Action Detection and Summarization Framework for Mission-Critical Training and Debriefing—0
GIST-AiTeR System for the Diarization Task of the 2022 VoxCeleb Speaker Recognition Challenge—0
Budget-Aware Deep Semantic Video Segmentation—0
Budget-Aware Activity Detection with A Recurrent Policy Network—0
An Efficient Spatio-Temporal Pyramid Transformer for Action Detection—0
C3PO: Database and Benchmark for Early-stage Malicious Activity Detection in 3D Printing—0
Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection—0
Joint Activity Detection and Channel Estimation for Clustered Massive Machine Type Communications—0
GateHUB: Gated History Unit with Background Suppression for Online Action Detection—0
GTTS-EHU Systems for QUESST at MediaEval 2014—0
An Efficient Algorithm for Device Detection and Channel Estimation in Asynchronous IoT Systems—0
Game State and Spatio-temporal Action Detection in Soccer using Graph Neural Networks and 3D Convolutional Networks—0
Hand Action Detection from Ego-centric Depth Sequences with Error-correcting Hough Transform—0
Gabriella: An Online System for Real-Time Activity Detection in Untrimmed Security Videos—0
Joint Activity-Delay Detection and Channel Estimation for Asynchronous Massive Random Access—0
Bridging the gap between Human Action Recognition and Online Action Detection—0
Frequency domain TRINICON-based blind source separation method with multi-source activity detection for sparsely mixed signals—0
Hierarchical Graph-RNNs for Action Detection of Multiple Activities—0
An Efficient Active Set Algorithm for Covariance Based Joint Data and Activity Detection for Massive Random Access with Massive MIMO—0
Hierarchical MTC User Activity Detection and Channel Estimation with Unknown Spatial Covariance—0
Hierarchical Self-Attention Network for Action Localization in Videos—0
High-speed Low-consumption sEMG-based Transient-state micro-Gesture Recognition—0
Fotheidil: an Automatic Transcription System for the Irish Language—0
Follow the Attention: Combining Partial Pose and Object Motion for Fine-Grained Action Detection—0
Human Attention Detection Using AM-FM Representations—0
Boundary-Recovering Network for Temporal Action Detection—0
Hybrid Active Learning via Deep Clustering for Video Action Detection—0
Self-supervised New Activity Detection in Sensor-based Smart Environments—0
Identity-aware Graph Memory Network for Action Detection—0
Improvement of Noise-Robust Single-Channel Voice Activity Detection with Spatial Pre-processing—0
Improve Temporal Action Proposals using Hierarchical Context—0
Improving Action Localization by Progressive Cross-stream Cooperation—0
Improving endpoint detection in end-to-end streaming ASR for conversational speech—0
Random Utterance Concatenation Based Data Augmentation for Improving Short-video Speech Recognition—0
Improving Speaker Assignment in Speaker-Attributed ASR for Real Meeting Applications—0
Accelerating temporal action proposal generation via high performance computing—0
Improving Transformer-based End-to-End Speaker Diarization by Assigning Auxiliary Losses to Attention Heads—0
An Empirical Study on Activity Recognition in Long Surgical Videos—0
Joint Activity-Delay Detection and Channel Estimation for Asynchronous Massive Random Access: A Free Probability Theory Approach—0
Show:102550
← PrevPage 7 of 17Next →
All datasetsUCF101-24J-HMDBCharadesMulti-THUMOSUCF SportsTHUMOS' 14MultiSportsTSUTTStroke-21 ME21TTStroke-21 ME22MultiTHUMOS

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
10I3D + biGRU + VS-ST-MPNNmAP23.7—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