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Found 4 papers, 3 papers with code
Block Selection Method for Using Feature Norm in Out-of-distribution Detection
In this study, we first revealed that a norm of the feature map obtained from the other block than the last block can be a better indicator of OOD detection.
Out-of-Distribution Detection
Out of Distribution (OOD) Detection
SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning
Conventionally, learning-based automatic sleep scoring on single-channel electroencephalogram (EEG) is actively studied because obtaining multi-channel signals during sleep is difficult.
Ranked #1 on
Sleep Stage Detection
on Sleep-EDFx
Object Detection for Understanding Assembly Instruction Using Context-aware Data Augmentation and Cascade Mask R-CNN
Understanding assembly instruction has the potential to enhance the robot s task planning ability and enables advanced robotic applications.
Intra- and Inter-epoch Temporal Context Network (IITNet) Using Sub-epoch Features for Automatic Sleep Scoring on Raw Single-channel EEG
A deep learning model, named IITNet, is proposed to learn intra- and inter-epoch temporal contexts from raw single-channel EEG for automatic sleep scoring.
Ranked #1 on
Sleep Stage Detection
on MASS SS2
