2 citations · 5 across the 9 of their papers we have counts for
8 papers · 1 filter
Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation
Zipeng Qi, Hao Chen, Haotian Zhang +2
In this paper, we propose a novel semantic splatting approach based on Gaussian Splatting to achieve efficient and low-latency. Our method projects the RGB attributes and semantic…
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang +50
How can we test AI performance? This question seems trivial, but it isn't. Standard benchmarks often have problems such as in-distribution and small-size test sets, oversimplified…
Generative Active Learning for Long-tailed Instance Segmentation
Muzhi Zhu, Chengxiang Fan, Hao Chen +4
Recently, large-scale language-image generative models have gained widespread attention and many works have utilized generated data from these models to further enhance the perform…
Domain Game: Disentangle Anatomical Feature for Single Domain Generalized Segmentation
Hao Chen, Hongrun Zhang, U Wang Chan +3
Single domain generalization aims to address the challenge of out-of-distribution generalization problem with only one source domain available. Feature distanglement is a classic s…
FreeTumor: Advance Tumor Segmentation via Large-Scale Tumor Synthesis
Linshan Wu, Jiaxin Zhuang, Xuefeng Ni +1
AI-driven tumor analysis has garnered increasing attention in healthcare. However, its progress is significantly hindered by the lack of annotated tumor cases, which requires radio…
Learning to detect cloud and snow in remote sensing images from noisy labels
Zili Liu, Hao Chen, Wenyuan Li +5
Detecting clouds and snow in remote sensing images is an essential preprocessing task for remote sensing imagery. Previous works draw inspiration from semantic segmentation models…