zhangst431

SALT

Softmax for Arbitrary Label Trees (SALT) is a framework for training segmentation networks using conditional probabilities to model hierarchical relationships in the data.

SuPreM

[ICLR 2024] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)

U-Mamba

U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

PaddleOCR

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

GenSAM

Code for AAAl 2024 paper: Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects

HAMIL

research-method

论文写作与资料分享

doing_the_PhD

awesome-gpt-store

A curated list of awesome GPTs in the GPT Store

DoDNet

[CVPR2021] DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

deep-wsl-histo-min-max-uncertainty

Pytorch code for the paper "Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty".

survey_wsl_histology

Gland-Segmentation

Gland segmentation task with GlaS 2015 dataset using UNet model.

HistoSSLscaling

Code associated to the publication: Scaling self-supervised learning for histopathology with masked image modeling, A. Filiot et al., MedRxiv (2023). We publicly release Phikon 🚀

DCL

Official code for "Dynamic Graph Enhanced Contrastive Learning for Chest X-ray Report Generation" (CVPR 2023)

R2Gen

M2KT

TotalSegmentator

Tool for robust segmentation of >100 important anatomical structures in CT and MR images

cheXpert-test-set-labels

pydensecrf

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

proxychains

proxychains - a tool that forces any TCP connection made by any given application to follow through proxy like TOR or any other SOCKS4, SOCKS5 or HTTP(S) proxy. Supported auth-types: "user/pass" for SOCKS4/5, "basic" for HTTP.

awesome-Vision-and-Language-Pre-training

Recent Advances in Vision and Language Pre-training (VLP)

VLM_survey

Collection of AWESOME vision-language models for vision tasks

RKD

Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019

learning_research

本人的科研经验

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

SAT

Improving Medical Vision-Language Contrastive Pretraining with Semantics-aware Triage

KAD