62 citations · 285 across the 42 of their papers we have counts for
Showing 2023 · cs.CVShow all
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cs.CV2023★ 1 cited
Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption
Teng Hu, Jiangning Zhang, Liang Liu +7
Training a generative model with limited number of samples is a challenging task. Current methods primarily rely on few-shot model adaption to train the network. However, in scenar…
cs.CV2023★ 4 cited
Toward High Quality Facial Representation Learning
Yue Wang, Jinlong Peng, Jiangning Zhang +4
Face analysis tasks have a wide range of applications, but the universal facial representation has only been explored in a few works. In this paper, we explore high-performance pre…
cs.CV2023★ 18 cited
Iterative Few-shot Semantic Segmentation from Image Label Text
Haohan Wang, Liang Liu, Wuhao Zhang +5
Few-shot semantic segmentation aims to learn to segment unseen class objects with the guidance of only a few support images. Most previous methods rely on the pixel-level label of…