목록computer vision (3)
On the journey of
[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..
[논문읽기] Lung Disease Classification Using Deep Learning Models from Chest X-ray Images(2023)
Original Paper ) https://ieeexplore.ieee.org/document/10075968/ Lung Disease Classification Using Deep Learning Models from Chest X-ray Images In the very recent past, Infectious disease-related sickness has long posed a concern on a global scale. Each year, COVID-19, pneumonia, and tuberculosis cause a large number of deaths because they all affect the lungs. Early detection and diagnosis can i..
[논문읽기] CLIP : Learning Transferable Visual Models From Natural Language Supervision
Multi-Modal 및 NLP, Multi task 관련 논문작업을 시작할 수도 있어서 (자세한 설명은 생략) 멀티모달 관련 공부를 시작했다. 멀티모달 같은 경우 처음은 아니지만 경험이 많은 건 더더욱 아니라서 ^.^ CV와 함께 공부해야 할 것 같다 :-) Original Paper ) https://arxiv.org/abs/2103.00020 Learning Transferable Visual Models From Natural Language Supervision State-of-the-art computer vision systems are trained to predict a fixed set of predetermined object categories. This restricted form..