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CVPR 2020, Hyperbolic Image Embeddings 논문 링크: https://arxiv.org/abs/1904.02239(https://arxiv.org/abs/1904.02239) Hyperbolic Image Embeddings Computer vision tasks such as image classification, image retrieval and few-shot learning are currently dominated by Euclidean and spherical embeddings, so that the final decisions about class belongings or the degree of similarity are made using linear hy ..

⚽ GOAL 2020 ~ 2023 사이에 활발하게 이루어진 연구들의 개념을 알아본다 각 개념의 대표적인 논문들을 간단하게 소개하여 연구의 흐름을 알아본다 이를 통해서 본인 연구/개발에서 써 볼만한 insight를 얻어갔으면 하는 마음.. 🙈 Unsupervised Learning : input data have no corresponding classifications or labeling examples Clustering (K-means…) Visualization and Dimensionality Reduction (PCA, t-SNE) 🙉 Semi-Supervised Learning : use a small set of input-output pairs and another set of only ..