2 citations · 2 across the 2 of their papers we have counts for
3 papers
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.CV2019★ 2 cited
WSOD with PSNet and Box Regression
Sheng Yi, Xi Li, Huimin Ma
Weakly supervised object detection(WSOD) task uses only image-level annotations to train object detection task. WSOD does not require time-consuming instance-level annotations, so…