3 papers
cs.CV2025
Occlusion-Ordered Semantic Instance Segmentation
Soroosh Baselizadeh, Cheuk-To Yu, Olga Veksler +1
Standard semantic instance segmentation provides useful, but inherently 2D information from a single image. To enable 3D analysis, one usually integrates absolute monocular depth e…
cs.CV2025
Approximate Size Targets Are Sufficient for Accurate Semantic Segmentation
Xingye Fan, Zhongwen, Zhang +1
This paper demonstrates a surprising result for segmentation with image-level targets: extending binary class tags to approximate relative object-size distributions allows off-the-…
cs.LG2024
Discriminative Entropy Clustering and its Relation to K-means and SVM
Zhongwen Zhang, Yuri Boykov
Maximization of mutual information between the model's input and output is formally related to "decisiveness" and "fairness" of the softmax predictions, motivating these unsupervis…