2 citations · 2 across the 3 of their papers we have counts for
3 papers
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.CV2025
ZERO: Industry-ready Vision Foundation Model with Multi-modal Prompts
Sangbum Choi, Kyeongryeol Go, Taewoong Jang
Foundation models have revolutionized AI, yet they struggle with zero-shot deployment in real-world industrial settings due to a lack of high-quality, domain-specific datasets. To…
cs.CV2015★ 2 cited
Learning to Select Pre-Trained Deep Representations with Bayesian Evidence Framework
Yong-Deok Kim, Taewoong Jang, Bohyung Han +1
We propose a Bayesian evidence framework to facilitate transfer learning from pre-trained deep convolutional neural networks (CNNs). Our framework is formulated on top of a least s…