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논문 리뷰/Computer Vision3

[논문 리뷰] V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Paper DetailsTitle: V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image SegmentationAuthors: Fausto Milletari, Nassir Navab, Seyed-Ahmad AhmadiConference: Medical Image Computing and Computer-Assisted Intervention (MICCAI)Year of Publication: 2016Link: https://arxiv.org/abs/1606.04797Key Focus: This paper introduces V-Net, a fully convolutional neural network designed for 3D .. 2025. 1. 10.
[논문 리뷰] U-Net: Convolution Networks for Biomedical Image Segmentation Paper DetailsTitle: U-Net: Convolutional Networks for Biomedical Image Segmentation Authors: Olaf Ronneberger, Philipp Fischer, Thomas Brox Conference: Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2015 Year of Publication: 2015 Link: https://arxiv.org/abs/1505.04597Key Focus: This paper presents U-Net, a convolutional neural network designed for biomedical image segmentati.. 2024. 11. 18.
[논문 리뷰] AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE Paper Details Title: An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Authors: Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby Conference: International Conference on Learning Representations (ICLR 2021) Year of Publ.. 2024. 10. 14.

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