127 citations · 409 across the 15 of their papers we have counts for
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cs.CV2020
Unsupervised segmentation via semantic-apparent feature fusion
Xi Li, Huimin Ma, Hongbing Ma +1
Foreground segmentation is an essential task in the field of image understanding. Under unsupervised conditions, different images and instances always have variable expressions, wh…
cs.CV2020
Realizing Pixel-Level Semantic Learning in Complex Driving Scenes based on Only One Annotated Pixel per Class
Xi Li, Huimin Ma, Sheng Yi +1
Semantic segmentation tasks based on weakly supervised condition have been put forward to achieve a lightweight labeling process. For simple images that only include a few categori…
cs.CV2020★ 89 cited
Weakly-Supervised Semantic Segmentation by Iterative Affinity Learning
Xiang Wang, Sifei Liu, Huimin Ma +1
Weakly-supervised semantic segmentation is a challenging task as no pixel-wise label information is provided for training. Recent methods have exploited classification networks to…