3 papers
cs.CV2022
SLAMs: Semantic Learning based Activation Map for Weakly Supervised Semantic Segmentation
Junliang Chen, Xiaodong Zhao, Minmin Liu +1
Recent mainstream weakly-supervised semantic segmentation (WSSS) approaches mainly relies on image-level classification learning, which has limited representation capacity. In this…
cs.CV2022
Sample hardness based gradient loss for long-tailed cervical cell detection
Minmin Liu, Xuechen Li, Xiangbo Gao +3
Due to the difficulty of cancer samples collection and annotation, cervical cancer datasets usually exhibit a long-tailed data distribution. When training a detector to detect the…
cs.CV2022
Scale-free and Task-agnostic Attack: Generating Photo-realistic Adversarial Patterns with Patch Quilting Generator
Xiangbo Gao, Cheng Luo, Qinliang Lin +5
\noindent Traditional L_p norm-restricted image attack algorithms suffer from poor transferability to black box scenarios and poor robustness to defense algorithms. Recent CNN gene…