research
∙
08/21/2023
Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks
In this paper, we propose a novel layer-adaptive weight-pruning approach...
share
research
∙
07/25/2023
GaitFormer: Revisiting Intrinsic Periodicity for Gait Recognition
Gait recognition aims to distinguish different walking patterns by analy...
research
∙
03/28/2023
MS-MT: Multi-Scale Mean Teacher with Contrastive Unpaired Translation for Cross-Modality Vestibular Schwannoma and Cochlea Segmentation
Domain shift has been a long-standing issue for medical image segmentati...
research
∙
03/04/2023
MetaGrad: Adaptive Gradient Quantization with Hypernetworks
A popular track of network compression approach is Quantization aware Tr...
research
∙
12/05/2022
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation
While deep learning methods hitherto have achieved considerable success ...
research
∙
05/14/2022
Self-supervised Assisted Active Learning for Skin Lesion Segmentation
Label scarcity has been a long-standing issue for biomedical image segme...
research
∙
03/23/2022
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels
The success of deep convolutional neural networks (DCNNs) benefits from ...
research
∙
05/21/2021
Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation
Deep learning has achieved promising segmentation performance on 3D left...
research
∙
01/22/2021
DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation
Image segmentation is one of the most essential biomedical image process...
research
∙
05/08/2020