Convolutional Neural Networks are a class of deep learning models designed to process grid-like data, such as images. They're particularly effective for tasks like image classification, object ...

Abstract: Accurate segmentation of brain tumors across multiple MRI sequences is essential for diagnosis, treatment planning, and clinical decision-making. In this paper, I propose a cutting-edge ...

Multi-Head Self-Attention in ViTs (left) is approximated by depthwise convolution over the reshaped value tensor (right). We aim to reduce the inference cost of large pre-trained Vision Transformers ...