41 citations · 43 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 41 cited
SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and More
Tianrun Chen, Lanyun Zhu, Chaotao Ding +6
The emergence of large models, also known as foundation models, has brought significant advancements to AI research. One such model is Segment Anything (SAM), which is designed for…
cs.CV2022
UI Layers Merger: Merging UI layers via Visual Learning and Boundary Prior
Yun-nong Chen, Yan-kun Zhen, Chu-ning Shi +6
With the fast-growing GUI development workload in the Internet industry, some work on intelligent methods attempted to generate maintainable front-end code from UI screenshots. It…
cs.LG2018★ 2 cited
Unsupervised Disentangled Representation Learning with Analogical Relations
Zejian Li, Yongchuan Tang, Yongxing He
Learning the disentangled representation of interpretable generative factors of data is one of the foundations to allow artificial intelligence to think like people. In this paper,…