Something about GAN
最近在看关于GANs的论文，并且自己动手用PyTorch写了一些经典文章的实现，想要稍微总结一下，故有此文。在最后我总结了我自己看过的有关GANs的一些比较好的资源，希望对读者有所帮助。
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.
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
TensorFlow r1.0 on TX1 (now successful)
TensorFlow r1.0已经发布了不少时间，事实证明1.0版本在内存使用上改善了不少，以前一些在r0.11上内存满报错的程序在r1.0上能够正常运行了。同时，r1.0相较于r0.11在API上做了很大的改动，也有很多新的东西（比如Keras）将要集成进TF。
总而言之，r1.0是未来的方向，所以说我希望将原先在TX1上装的r0.11换成r1.0。不过网上最新的教程还是只有r0.11的。rwightman这位仁兄编译成功了r1.0alpha版本，并且放出了whl文件，不过没有编译正式版。本文将阐述如何在TX1上安装TensorFlow r1.0的正式版本，不过目前由于。nvcc的一个bug，还没有编译成功
Update: 做了一些非常ugly的改动之后编译成功了。