can-can-ya
email: goujiaxiang8408@gmail.com
School of Computer Science and Engineering, University of Electronic Science and Technology of ChinaChina
Pinned Repositories
QPMIL-VL
Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification
AttriCLIP
CVPR2023: AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning
Auto-Privacy-Leakage-Detection
“华为杯”第二届中国研究生网络安全创新大赛揭榜挑战赛赛题：富文本敏感信息泄露检测
CLAM
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
CONCH
A vision-language foundation model for computational pathology - Nature Medicine
ConSlide
[ICCV 2023] ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis
CoOp
Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)
CoOp_debug
Combine the code https://github.com/KaiyangZhou/Dassl.pytorch directly into the code https://github.com/KaiyangZhou/CoOp, which is convenient for debugging and reading the code.
dap-cl
Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
can-can-ya's Repositories
can-can-ya/QPMIL-VL
Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification
can-can-ya/VLSA
Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology
can-can-ya/CONCH
A vision-language foundation model for computational pathology - Nature Medicine
can-can-ya/mammoth
An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
can-can-ya/ConSlide
[ICCV 2023] ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis
can-can-ya/Pipeline-Processing-TCGA-Slides-for-MIL
This repo provides an exhaustive pipeline of processing TCGA whole-slide images for downstream multiple instance learning.
can-can-ya/AttriCLIP
CVPR2023: AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning
can-can-ya/CoOp_debug
Combine the code https://github.com/KaiyangZhou/Dassl.pytorch directly into the code https://github.com/KaiyangZhou/CoOp, which is convenient for debugging and reading the code.
can-can-ya/CoOp
Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)
can-can-ya/l2p-pytorch
PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22
can-can-ya/HistoSSLscaling
Code associated to the publication: Scaling self-supervised learning for histopathology with masked image modeling, A. Filiot et al., MedRxiv (2023).
can-can-ya/CLAM
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
can-can-ya/dap-cl
Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"
can-can-ya/Auto-Privacy-Leakage-Detection
“华为杯”第二届**研究生网络安全创新大赛揭榜挑战赛赛题：富文本敏感信息泄露检测
can-can-ya/intro-to-github
study github
can-can-ya/ILMIL
Code for paper "基于知识蒸馏的目标检测模型增量深度学习方法"
can-can-ya/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
can-can-ya/pytorch-book
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
can-can-ya/OWOD
(CVPR 2021 Oral) Open World Object Detection
can-can-ya/hello-world
just a new repository