論文閱讀:《Bootstrap Your Own LatentA New Approach to Self-Supervised Learning》論文地址:https://...
論文閱讀:《Bootstrap Your Own LatentA New Approach to Self-Supervised Learning》論文地址:https://...
論文閱讀:《AN IMAGE IS WORTH 16X16 WORDS:TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE》論文地址:ht...
論文閱讀:《Improved Baselines with Momentum Contrastive Learning》論文地址:https://arxiv.org/abs/...
論文閱讀:《A Simple Framework for Contrastive Learning of Visual Representations》論文地址:https:...
論文閱讀:《Momentum Contrast for Unsupervised Visual Representation Learning》論文地址:https://ar...
論文閱讀:《Batch Normalization: Accelerating Deep Network Training by Reducing Internal Cova...
圖像的幾何變換主要包括:平移、縮放、旋轉(zhuǎn)、仿射、透視等等。圖像變換是建立在矩陣運(yùn)算基礎(chǔ)上的,通過矩陣運(yùn)算可以很快的找到不同圖像的對應(yīng)關(guān)系。理解變換的原理需要理解變換的構(gòu)造方法...
概率論 統(tǒng)計(jì)學(xué) 常見數(shù)字特征 數(shù)學(xué)期望(均值) 在概率論和統(tǒng)計(jì)學(xué)中,數(shù)學(xué)期望(mean)(或均值,亦簡稱期望)是試驗(yàn)中每次可能結(jié)果的概率乘以其結(jié)果的總和,是最基本的數(shù)學(xué)特征之...
一會(huì)兒機(jī)器學(xué)習(xí),一會(huì)兒深度學(xué)習(xí),一會(huì)兒強(qiáng)化學(xué)習(xí),一會(huì)兒深度強(qiáng)化學(xué)習(xí),暈頭轉(zhuǎn)向All of a sudden every one is talking about them –...
數(shù)據(jù)集偏移&領(lǐng)域偏移 Dataset Shift&Domain Shift 將數(shù)據(jù)集的gap(differences between datasets)這個(gè)問題抽象出來...
論文閱讀:O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Network...