2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Distribution-aware Noisy-label Crack Segmentation
Xiaoyan Jiang, Xinlong Wan, Kaiying Zhu +2
Road crack segmentation is critical for robotic systems tasked with the inspection, maintenance, and monitoring of road infrastructures. Existing deep learning-based methods for cr…
cs.CV2024★ 2 cited
CrackSegDiff: Diffusion Probability Model-based Multi-modal Crack Segmentation
Xiaoyan Jiang, Licheng Jiang, Anjie Wang +2
Integrating grayscale and depth data in road inspection robots could enhance the accuracy, reliability, and comprehensiveness of road condition assessments, leading to improved mai…
cs.CV2024
PTQ4RIS: Post-Training Quantization for Referring Image Segmentation
Xiaoyan Jiang, Hang Yang, Kaiying Zhu +3
Referring Image Segmentation (RIS), aims to segment the object referred by a given sentence in an image by understanding both visual and linguistic information. However, existing R…