목록segmentation (3)
On the journey of
[논문읽기] Brain tumor segmentation based on deep learning and an attention mechanism using MRI multi-modalities brain images
Original Paper) https://pubmed.ncbi.nlm.nih.gov/34035406/ (Brain tumor segmentation based on deep learning and an attention mechanism using MRI multi-modalities brain images) Brain tumor segmentation based on deep learning and an attention mechanism using MRI multi-modalities brain images - PubMed Brain tumor localization and segmentation from magnetic resonance imaging (MRI) are hard and import..
[논문읽기] U-Net: Convolutional Networks for Biomedical Image Segmentation
Original Paper ) https://arxiv.org/pdf/1505.04597.pdf (https://arxiv.org/abs/1505.04597) U-Net: Convolutional Networks for Biomedical Image Segmentation There is large consent that successful training of deep networks requires many thousand annotated training samples. In this paper, we present a network and training strategy that relies on the strong use of data augmentation to use the available..
[CSE URP]BEiT: BERT Pre-Training of Image Transformers (2)
2.4 From the Perspective of Variational Autoencoder BEIT 의 pre-training은 Variational Autoencoder 관점에서 설명할 수 있음 이를 분포를 기반으로 한 수식으로 나타내보면 아래와 같다. 이때 위 수식은 아래와 같이 변형될 수 있다. Stage 1 : dVAE에서 Image Tokenizer를 얻는 부분에 대한 Term Stage 2 : Masked Image가 주어졌을 때, Image Tokenizer를 얻는 것에 대한 Term 2.5 Pre-Training Setup BEIT 모델의 Pre-Training은 아래와 같이 설정되고 진행됨 VIT-B(Base) 모델 설정과 비슷하게 설정되어 있음 12-layer Transformer w..