Tag: Image segmentation
Interactive Segmentation with Prototype Learning for Few-Shot Root Annotation
April 10, 2025Abstract: Fine-scale pixel-level annotation of minirhizotron root images is a less common and challenging task. We present an interactive segmentation framework to accelerate root annotation. We leverage the concept of few-shot segmentation so that the pre-trained model can be effectively fine-tuned and transferred to an unseen category. To provide immediate feedback for real-time interaction, we […]
Read more: Interactive Segmentation with Prototype Learning for Few-Shot Root Annotation »Bag-level classification network for infrared target detection accepted to SPIE, 2022!
June 29, 2022Congratulations to our labmates and collaborators: Connor H. McCurley, Daniel Rodriguez, Chandler Trousdale, Arielle Stevens, Anthony Baldino, Eugene Li, Isabella Perlmutter, and Alina Zare. Their paper, “Bag-level classification network for infrared target detection”, was recently accepted to Proc. SPIE 12096, Automatic Target Recognition XXXII, 1209603 (31 May 2022). In the paper, the authors investigate the use […]
Read more: Bag-level classification network for infrared target detection accepted to SPIE, 2022! »