4 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.CV2021
DropLoss for Long-Tail Instance Segmentation
Ting-I Hsieh, Esther Robb, Hwann-Tzong Chen +1
Long-tailed class distributions are prevalent among the practical applications of object detection and instance segmentation. Prior work in long-tail instance segmentation addresse…
cs.CV2020
Few-Shot Adaptation of Generative Adversarial Networks
Esther Robb, Wen-Sheng Chu, Abhishek Kumar +1
Generative Adversarial Networks (GANs) have shown remarkable performance in image synthesis tasks, but typically require a large number of training samples to achieve high-quality…
cs.CV2020★ 4 cited
NAS-DIP: Learning Deep Image Prior with Neural Architecture Search
Yun-Chun Chen, Chen Gao, Esther Robb +1
Recent work has shown that the structure of deep convolutional neural networks can be used as a structured image prior for solving various inverse image restoration tasks. Instead…