22 citations · 24 across the 3 of their papers we have counts for
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cs.CV2023
Confidence-Guided Semi-supervised Learning in Land Cover Classification
Wanli Ma, Oktay Karakus, Paul L. Rosin
Semi-supervised learning has been well developed to help reduce the cost of manual labelling by exploiting a large quantity of unlabelled data. Especially in the application of lan…
cs.CV2023★ 2 cited
Towards Artistic Image Aesthetics Assessment: a Large-scale Dataset and a New Method
Ran Yi, Haoyuan Tian, Zhihao Gu +2
Image aesthetics assessment (IAA) is a challenging task due to its highly subjective nature. Most of the current studies rely on large-scale datasets (e.g., AVA and AADB) to learn…
cs.CV2022★ 22 cited
Quality Metric Guided Portrait Line Drawing Generation from Unpaired Training Data
Ran Yi, Yong-Jin Liu, Yu-Kun Lai +1
Face portrait line drawing is a unique style of art which is highly abstract and expressive. However, due to its high semantic constraints, many existing methods learn to generate…