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From WSI-level to Patch-level: Structure Prior Guided Binuclear Cell Fine-grained Detection
The coarse detection network is a multi-task detection framework based on circular bounding boxes for cells detection, and central key points for nucleus detection.
An Iterative Co-Training Transductive Framework for Zero Shot Learning
How to generate pseudo labels for unseen-class samples and how to use such usually noisy pseudo labels are two critical issues in transductive learning.
HardBoost: Boosting Zero-Shot Learning with Hard Classes
This work is a systematical analysis on the so-called hard class problem in zero-shot learning (ZSL), that is, some unseen classes disproportionally affect the ZSL performances than others, as well as how to remedy the problem by detecting and exploiting hard classes.
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