Mining Objects: Fully Unsupervised Object Discovery and Localization From a Single Image
“Mining Objects: Fully Unsupervised Object Discovery and Localization From a Single Image” focus on performing unsupervised object discovery and localization...
Recent Posts
LeetCode 2. Add Two Numbers
Sharing an answer code of mine about 2. Add Two Numbers of LeetCode.
BING: Binarized Normed Gradients for Objectness Estimation at 300fps
“BING: Binarized Normed Gradients for Objectness Estimation at 300fps” is a an objectness classifier using binarized normed gradient and linear classifier, w...
U-Net: Convolutional Networks for Biomedical Image Segmentation
“U-Net: Convolutional Networks for Biomedical Image Segmentation” is a famous segmentation model not only for biomedical tasks and also for general segmentat...
MS-RMAC: Multiscale Regional Maximum Activation of Convolutions for Image Retrieval
“MS-RMAC: Multiscale Regional Maximum Activation of Convolutions for Image Retrieval” improves current Maximum Activation of Convolutions (MAC) feature for i...
Dual Attention Network for Scene Segmentation
“Dual Attention Network for Scene Segmentation” improves scene segmentation tasks performance by attaching self-attention mechanism. It is in arxiv yet and t...
Harmonious Attention Network for Person Re-Identification
“Harmonious Attention Network for Person Re-Identification” suggests a joint learning of soft pixel attention and hard regional attention for person re-ident...
Super-Convergence: very fast training of neural networks using large learning rates
“Super-Convergence: very fast training of neural networks using large learning rates” suggests a different learning rate policy called ‘one cycle policy’ whi...