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RefDiffNet: Learning to Expose Subtle PCB Defects Before Detection
Vinay Edula, Nilesh Badwe, Priyanka Bagade
Printed circuit board (PCB) defect detection is challenging because many defects are small and difficult to distinguish from complex background patterns. Most deep learning-based P…
MoEIoU: Rethinking Bounding-Box Regression as a Mixture of Experts
Vinay Edula, Priyanka Bagade
Bounding-box regression is a fundamental component of object detection, playing a critical role in precise object localization. Existing Intersection-over-Union (IoU)-based loss fu…
AGGRNet: Selective Feature Extraction and Aggregation for Enhanced Medical Image Classification
Ansh Makwe, Akansh Agrawal, Prateek Jain +2
Medical image analysis for complex tasks such as severity grading and disease subtype classification poses significant challenges due to intricate and similar visual patterns among…
KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling
Akansh Agrawal, Akshan Agrawal, Shashwat Gupta +1
Medical image segmentation is essential for applications like robotic surgeries, disease diagnosis, and treatment planning. Recently, various deep-learning models have been propose…