深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Edge-aware U-Net with CRF-RNN layer for Medical Image Segmentation

image splicing locailzation using CNN

Groundtruth images of tampering dataset CASIA 2.0

Adaptive Affinity Fields for Semantic Segmentation

Keras code and weights files for popular deep learning models.

[SAIN'18] [Caffe] A dilated version of FCN with Stride 2 for Efficient Semantic Segmentation

Image-to-Image Translation in PyTorch

Conditional Random Fields as Recurrent Neural Networks (Tensorflow)

Permutohedral Lattice C++/CUDA implementation + TensorFlow Op (CPU/GPU)

Image segmentation for self-driving car. Based on Cityscapes dataset.

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)