Jiangbo-Shi

awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

awesome-transformers-in-medical-imaging

A collection of resources on applications of Transformers in Medical Imaging.

Awesome-Visual-Transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

CoD-MIL

MG-Trans

MG-Trans: Multi-scale Graph Transformer with Information Bottleneck for Whole Slide Image Classification (TMI 2023)

self_path

semi-supervised learning for pathology images

SGMF

A Structure-aware Hierarchical Graph-based Multiple Instance Learning Framework for pT Staging in Histopathological Image (TMI 2023)

SSPCL

Semi-Supervised Pixel Contrastive Learning Framework for Tissue Segmentation in Histopathological Image (JBHI 2023)

ViLa-MIL

ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification (CVPR 2024)

Jiangbo-Shi/ViLa-MIL

ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification (CVPR 2024)

Jiangbo-Shi/MG-Trans

MG-Trans: Multi-scale Graph Transformer with Information Bottleneck for Whole Slide Image Classification (TMI 2023)

Jiangbo-Shi/SGMF

A Structure-aware Hierarchical Graph-based Multiple Instance Learning Framework for pT Staging in Histopathological Image (TMI 2023)

Jiangbo-Shi/SSPCL

Semi-Supervised Pixel Contrastive Learning Framework for Tissue Segmentation in Histopathological Image (JBHI 2023)

Jiangbo-Shi/self_path

semi-supervised learning for pathology images

Jiangbo-Shi/awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

Jiangbo-Shi/awesome-transformers-in-medical-imaging

A collection of resources on applications of Transformers in Medical Imaging.

Jiangbo-Shi/Awesome-Visual-Transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

Jiangbo-Shi/CoD-MIL

Jiangbo-Shi/Context-Aware-Consistency

Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)

Jiangbo-Shi/ContrastiveSeg

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

Jiangbo-Shi/CSSL

Contrastive Semi-supervised Learning for 2D medical image segmentation.

Jiangbo-Shi/DeepAttnMISL

Contains codes of DeepAttnMISL in MEDIA'20

Jiangbo-Shi/DeepClustering

Methods and Implements of Deep Clustering

Jiangbo-Shi/dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

Jiangbo-Shi/Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Jiangbo-Shi/DTC

Semi-supervised Medical Image Segmentation through Dual-task Consistency

Jiangbo-Shi/FixMatch-pytorch

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

Jiangbo-Shi/hact-net

Jiangbo-Shi/HIPT

Hierarchical Image Pyramid Transformer - CVPR 2022

Jiangbo-Shi/histocartography

Histocartography is a framework bringing together AI and Digital Pathology

Jiangbo-Shi/KiU-Net-pytorch

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

Jiangbo-Shi/moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

Jiangbo-Shi/paper-reading

深度学习经典、新论文逐段精读

Jiangbo-Shi/PixPro

Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning, CVPR 2021

Jiangbo-Shi/pytorch-zoom-in-network

Source code for "Efficient Classification of Very Large Images with Tiny Objects"

Jiangbo-Shi/Self-Supervised-ViT-Path

[WEIGHTS AVAILABLE] Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology - LMRL Workshop in NeurIPS 2021

Jiangbo-Shi/suncet

Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples" https://arxiv.org/abs/2104.13963 and "Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations" https://arxiv.org/abs/2006.10803

Jiangbo-Shi/TorchSemiSeg

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

Jiangbo-Shi/virtex

[CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations