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ericyu97's Projects

cotr icon cotr

CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation

da-sac icon da-sac

Self-supervised Augmentation Consistency for Adapting Semantic Segmentation (CVPR 2021)

deformable-detr icon deformable-detr

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

detr icon detr

End-to-End Object Detection with Transformers

ericyu97.github.io icon ericyu97.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

fd-gan icon fd-gan

FD-GAN: Generative adversarial Networks with Fusion-discriminator for Single Image Dehazing(AAAI'20)

graph-domain-adaptaion icon graph-domain-adaptaion

PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)

maskcd icon maskcd

The official PyTorch implementation of the paper "MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification"

medical-transformer icon medical-transformer

Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"

minenet-cd icon minenet-cd

The official PyTorch implementation of the paper "MINENET-CD: GLOBAL MINING CHANGE DETECTION DATASET"

mprnet icon mprnet

Official repository for "Multi-Stage Progressive Image Restoration" (CVPR 2021). SOTA results for image deblurring, deraining, and denoising.

msbdn-dff icon msbdn-dff

The source code of CVPR 2020 paper "Multi-Scale Boosted Dehazing Network with Dense Feature Fusion"

proda icon proda

Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021)

torchsemiseg icon torchsemiseg

[CVPR 2021] Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision

transunet icon transunet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

uad-rs icon uad-rs

The official PyTorch implementation of the paper "Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion Models"

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