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 451–500 of 817 papers

TitleStatusHype
Joint Channel Estimation and Device Activity Detection in Heterogeneous Networks—0
ST-HOI: A Spatial-Temporal Baseline for Human-Object Interaction Detection in VideosCode1
FineAction: A Fine-Grained Video Dataset for Temporal Action LocalizationCode1
MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports ActionsCode1
Coupling Intent and Action for Pedestrian Crossing Behavior PredictionCode1
PLSM: A Parallelized Liquid State Machine for Unintentional Action DetectionCode0
Accelerating Coordinate Descent via Active Set Selection for Device Activity Detection for Multi-Cell Massive Random Access—0
Joint Activity Detection and Data Decoding in Massive Random Access via a Turbo Receiver—0
Beyond Voice Activity Detection: Hybrid Audio Segmentation for Direct Speech Translation—0
Spatial Correlation Aware Compressed Sensing for User Activity Detection and Channel Estimation in Massive MTC—0
Spatiotemporal Deformable Scene Graphs for Complex Activity Detection—0
Temporally smooth online action detection using cycle-consistent future anticipationCode0
Improvement of Noise-Robust Single-Channel Voice Activity Detection with Spatial Pre-processing—0
End-to-end speaker segmentation for overlap-aware resegmentationCode1
The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods—0
The Use of Video Captioning for Fostering Physical Activity—0
Zeus: Efficiently Localizing Actions in Videos using Reinforcement Learning—0
TubeR: Tubelet Transformer for Video Action DetectionCode1
Beyond Short Clips: End-to-End Video-Level Learning with Collaborative Memories—0
Sparse Activity Discovery in Energy Constrained Multi-Cluster IoT Networks Using Group Testing—0
Early Detection of In-Memory Malicious Activity based on Run-time Environmental Features—0
Augmented Transformer with Adaptive Graph for Temporal Action Proposal Generation—0
Unified Graph Structured Models for Video Understanding—0
Temporal Context Aggregation Network for Temporal Action Proposal RefinementCode1
USTC-NELSLIP System Description for DIHARD-III Challenge—0
Action detection using a neural network elucidates the genetics of mouse grooming behaviorCode1
Iterative Reweighted Algorithms for Joint User Identification and Channel Estimation in Spatially Correlated Massive MTC—0
Learning spectro-temporal representations of complex sounds with parameterized neural networksCode1
An Ultra-low Power RNN Classifier for Always-On Voice Wake-Up Detection Robust to Real-World Scenarios—0
Time and Frequency Network for Human Action Detection in Videos—0
A Hybrid CNN-BiLSTM Voice Activity DetectorCode1
Modeling Multi-Label Action Dependencies for Temporal Action LocalizationCode1
Incorporating VAD into ASR System by Multi-task Learning—0
Coarse-Fine Networks for Temporal Activity Detection in VideosCode0
ACDnet: An action detection network for real-time edge computing based on flow-guided feature approximation and memory aggregationCode0
End-to-End Dereverberation, Beamforming, and Speech Recognition with Improved Numerical Stability and Advanced Frontend—0
ROAD: The ROad event Awareness Dataset for Autonomous DrivingCode1
Supporting More Active Users for Massive Access via Data-assisted Activity Detection—0
On training targets for noise-robust voice activity detection—0
An Efficient Active Set Algorithm for Covariance Based Joint Data and Activity Detection for Massive Random Access with Massive MIMO—0
Relaxed Transformer Decoders for Direct Action Proposal GenerationCode1
Anomalous Event Recognition in Videos Based on Joint Learningof Motion and Appearance with Multiple Ranking Measures—0
Generic Event Boundary Detection: A Benchmark for Event SegmentationCode1
Quantum Learning Based Nonrandom Superimposed Coding for Secure Wireless Access in 5G URLLC—0
Discovering Multi-Label Actor-Action Association in a Weakly Supervised SettingCode0
Bridging the gap between Human Action Recognition and Online Action Detection—0
Hierarchical Graph-RNNs for Action Detection of Multiple Activities—0
Activity Recognition with Moving Cameras and Few Training Examples: Applications for Detection of Autism-Related Headbanging—0
Joint User Activity and Data Detection in Grant-Free NOMA using Generative Neural Networks—0
PDAN: Pyramid Dilated Attention Network for Action DetectionCode1
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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
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