2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Semantic Instance Segmentation with a Discriminative Loss Function in PyTorch
Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).
Tensorflow version implementation of focal loss for binary and multi classification
Unofficial PyTorch Implementation of SUM-GAN from "Unsupervised Video Summarization with Adversarial LSTM Networks" (CVPR 2017)
Code that implements paper "End-to-End Instance Segmentation with Recurrent Attention"
Keras Implementation of The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation by (Simon Jégou, Michal Drozdzal, David Vazquez, Adriana Romero, Yoshua Bengio)
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
Datasets for remote sensing images (Paper:Exploring Models and Data for Remote Sensing Image Caption Generation)
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
