1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2026
Towards Any-Quality Image Segmentation via Generative and Adaptive Latent Space Enhancement
Guangqian Guo, Aixi Ren, Yong Guo +6
Segment Anything Models (SAMs), known for their exceptional zero-shot segmentation performance, have garnered significant attention in the research community. Nevertheless, their p…
stat.ML2022★ 1 cited
On the failure of variational score matching for VAE models
Li Kevin Wenliang
Score matching (SM) is a convenient method for training flexible probabilistic models, which is often preferred over the traditional maximum-likelihood (ML) approach. However, thes…