3 papers
cs.CV2026
Lightweight Unpaired Smartphone ISP Transfer with Semantic Pseudo-Pairing
Yujin Cho, Flavien Armangeon, Yanhao Li
Unpaired smartphone ISP is a challenging problem due to the lack of scene and color alignment between RAW and target RGB images. Many existing methods either require paired data or…
cs.CV2026
The Second Challenge on Cross-Domain Few-Shot Object Detection at NTIRE 2026: Methods and Results
Xingyu Qiu, Yuqian Fu, Jiawei Geng +70
Cross-domain few-shot object detection (CD-FSOD) remains a challenging problem for existing object detectors and few-shot learning approaches, particularly when generalizing across…
cs.CV2026
An Industrial Dataset for Scene Acquisitions and Functional Schematics Alignment
Flavien Armangeon, Thibaud Ehret, Enric Meinhardt-Llopis +4
Aligning functional schematics with 2D and 3D scene acquisitions is crucial for building digital twins, especially for old industrial facilities that lack native digital models. Cu…