junshi,github

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

List of datasets, codes, researchers, and contests related to remote sensing change detection

A curated list of papers, code and resources pertaining to zero shot learning

This is the PyTorch implementation of our paper "Cross-X learning for Fine-Grained Visual Categorization"

Unsupervised Domain Adaptation Papers and Code

A paper list of object detection using deep learning.

The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)

cvpr2018

An implementation of the Deep Neural Decision Forests in PyTorch

Synthesizing and manipulating 2048x1024 images with conditional GANs

PyTorch implementations of Generative Adversarial Networks.

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

The official code for the paper 'Structured Knowledge Distillation for Semantic Segmentation'. (CVPR 2019 ORAL) and extension to other tasks.

Everything about Transfer Learning and Domain Adaptation--迁移学习

A Pytorch implementation of "Unsupervised Attention-Guided Image-to-Image Translation"

Unsupervised Attention-Guided Image to Image Translation

A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains (IJCV submission)

This is a display page of our works on Zero-shot Learning.

Zero-Shot Semantic Segmentation

junshi Goto Github PK