Posts List

Let's talk about Zero-Shot Learning.

最近在看Zero-Shot learning方面的文章,有些想要记录备忘的东西,就写在这儿吧。

Notes for Amortized Inference and Learning in Latent CRF

This is my notes for Amortized Inference and Learning in Latent Conditional Random Fields for Weakly-Supervised Semantic Image Segmentation. arXiv:1705.01262 Poster & Slides

Notes for SEC

This is my notes for Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation. arxiv: https://arxiv.org/abs/1603.06098 github: https://github.com/kolesman/SEC

Notes: From Faster R-CNN to Mask R-CNN

That’s my notes for the talk “From Faster-RCNN to Mask-RCNN” by Shaoqing Ren on April 26th, 2017. Yesterday – background and pre-works of Mask R-CNN Key functions Classification - What are in the image? Localization - Where are they? Mask (per pixel) classification - Where+ ? More precise to bounding box Landmarks localization - What+, Where+ ? Not only per-pixel mask, but also key points in the objects