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 351–400 of 817 papers

TitleStatusHype
A Real-Time Voice Activity Detection Based On Lightweight Neural—0
A deep learning approach for understanding natural language commands for mobile service robots—0
Convolutional Neural Networks for Aerial Multi-Label Pedestrian Detection—0
Learning Proximal Operator Methods for Massive Connectivity in IoT Networks—0
Continuous Human Action Detection Based on Wearable Inertial Data—0
Learning an Augmented RGB Representation with Cross-Modal Knowledge Distillation for Action Detection—0
Learning Activity Progression in LSTMs for Activity Detection and Early Detection—0
Learnable Frontends that do not Learn: Quantifying Sensitivity to Filterbank Initialisation—0
A Proposal-Based Solution to Spatio-Temporal Action Detection in Untrimmed Videos—0
Continual Low-Rank Scaled Dot-product Attention—0
Context Understanding in Computer Vision: A Survey—0
A processing framework to access large quantities of whispered speech found in ASMR—0
JRDB-Act: A Large-scale Dataset for Spatio-temporal Action, Social Group and Activity Detection—0
Joint User Detection and Localization in Near-Field Using Reconfigurable Intelligent Surfaces—0
Contextual Multi-Scale Region Convolutional 3D Network for Activity Detection—0
Application of Machine Learning Techniques in Human Activity Recognition—0
ADA-VAD: Unpaired Adversarial Domain Adaptation for Noise-Robust Voice Activity Detection—0
Action Detection via an Image Diffusion Process—0
Access Delay Constrained Activity Detection in Massive Random Access—0
AAD: Adaptive Anomaly Detection through traffic surveillance videos—0
Context-LSTM: a robust classifier for video detection on UCF101—0
Jointly Sparse Signal Recovery and Support Recovery via Deep Learning with Applications in MIMO-based Grant-Free Random Access—0
Application-Driven AI Paradigm for Hand-Held Action Detection—0
Jointly Detecting and Separating Singing Voice: A Multi-Task Approach—0
Joint Learning of Object and Action Detectors—0
Joint Estimation of Clustered User Activity and Correlated Channels with Unknown Covariance in mMTC—0
Joint Channel Estimation and Device Activity Detection in Heterogeneous Networks—0
ContextDet: Temporal Action Detection with Adaptive Context Aggregation—0
A Customer Level Fraudulent Activity Detection Benchmark for Enhancing Machine Learning Model Research and Evaluation—0
Joint Speech Activity and Overlap Detection with Multi-Exit Architecture—0
Joint Training of Speaker Embedding Extractor, Speech and Overlap Detection for Diarization—0
Joint User Activity and Data Detection in Grant-Free NOMA using Generative Neural Networks—0
Joint Activity Detection, Channel Estimation, and Data Decoding for Grant-free Massive Random Access—0
Context-aware Proposal Network for Temporal Action Detection—0
Joint Activity Detection and Data Decoding in Massive Random Access via a Turbo Receiver—0
Kernel-based Sensor Fusion with Application to Audio-Visual Voice Activity Detection—0
KIDS: kinematics-based (in)activity detection and segmentation in a sleep case study—0
Language-Driven Temporal Activity Localization: A Semantic Matching Reinforcement Learning Model—0
LAP-Net: Adaptive Features Sampling via Learning Action Progression for Online Action Detection—0
Learnable Acoustic Frontends in Bird Activity Detection—0
Joint Activity Detection and Channel Estimation for Massive Connectivity: Where Message Passing Meets Score-Based Generative Priors—0
Computer-Aided Automated Detection of Gene-Controlled Social Actions of Drosophila—0
An Ultra-low Power RNN Classifier for Always-On Voice Wake-Up Detection Robust to Real-World Scenarios—0
Joint Activity Detection and Channel Estimation for Clustered Massive Machine Type Communications—0
Joint Activity-Delay Detection and Channel Estimation for Asynchronous Massive Random Access: A Free Probability Theory Approach—0
Learning recurrent representations for hierarchical behavior modeling—0
Joint Activity-Delay Detection and Channel Estimation for Asynchronous Massive Random Access—0
Learning Spatio-Temporal Structure from RGB-D Videos for Human Activity Detection and Anticipation—0
JOADAA: joint online action detection and action anticipation—0
Computational Graph Approach for Detection of Composite Human Activities—0
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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