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Article
VoxSeP: semi-positive voxels assist self-supervised 3D medical segmentation
Medical image segmentation enjoys the advantage of understanding 3D contexts, but 3D networks are prone to over-fitting due to the limited amount of annotated data. This paper investigates self-supervised pre-...
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Article
Network Adjustment: Channel and Block Search Guided by Resource Utilization Ratio
It is an important problem to design resource-efficient neural architectures. One solution is adjusting the number of channels in each layer and the number of blocks in each network stage. This paper presents ...
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Chapter and Conference Paper
MVP: Multimodality-Guided Visual Pre-training
Recently, masked image modeling (MIM) has become a promising direction for visual pre-training. In the context of vision transformers, MIM learns effective visual representation by aligning the token-level fea...
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Article
4-Dimethylaminopyridine grafted on MCM-41 as an efficient and highly stable catalyst for the production of α-tocopherol acetate
N,N′-dimethyl-N-(4-pyridyl)-1,2-ethanediamine (DMPE) as a special N-alkylation precursor of 4-dimethylaminopyridine (DMAP) was grafted on the surface of γ-chloropropylated functionalized mesoporous silica MCM-...
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Chapter and Conference Paper
Circumventing Outliers of AutoAugment with Knowledge Distillation
AutoAugment has been a powerful algorithm that improves the accuracy of many vision tasks, yet it is sensitive to the operator space as well as hyper-parameters, and an improper setting may degenerate network ...
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Chapter and Conference Paper
Rethinking the Distribution Gap of Person Re-identification with Camera-Based Batch Normalization
The fundamental difficulty in person re-identification (ReID) lies in learning the correspondence among individual cameras. It strongly demands costly inter-camera annotations, yet the trained models are not g...