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attentiondeepmil

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

awesome-vision-attentions

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

awesome-visual-transformer

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

bcl

A bayesian collaborative learning framework for whole-slide image classification

clam

Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

clip_prefix_caption

Simple image captioning model

dataset

医学影像数据集列表

dcod

Reconstruct in-line holograms with a single image.

dsmil-wsi

DSMIL: Multiple instance learning networks for tumor detection in Whole Slide Image

fusiondn

FusionDN: A Unified Densely Connected Network for Image Fusion

gtf

Infrared and visible image fusion via gradient transfer and total variation minimization

hia

Histopathology Image Analysis

hipt

Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)

imdecorr

irwsr

Python implementation of the Iterative Re-weighted Super Resolution scheme

jittor-mlp

Unofficial Implementation of MLP-Mixer, gMLP, resMLP, Vision Permutator, S2MLP, S2MLPv2, RaftMLP, HireMLP, ConvMLP, AS-MLP, SparseMLP, ConvMixer, SwinMLP, RepMLPNet, WaveMLP, MorphMLP, DynaMixer, MS-MLP, Sequencer2D in Jittor and PyTorch! Now, Rearrange and Reduce in einops.layers.jittor are support!! trunc_normal_ is supported for Jittor!! MLP Paper is uploaded!

marugoto

Tools to build deep learning pipelines.

multi-frame-super-resolution

Non-sequential multi-frame super-resolution image generation

multiframesuperresolution

A Multi Frame Super Resolution Tool based on Matlab

pmil

Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images

pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Examples for classification, object detection, segmentation, embedding networks and more. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

rminn

spring-2021

All code from my classes that is written from my spring 2021 semester.

super

Super-Resolution Erlangen (SupER): Benchmarking Super-Resolution Algorithms on Real Data

super-resolution-image-reconstruction

super_resolution

Super-resolution is a technique that constructs an high-resolution image from several observed low-resolution images.

swarm

Swarm Learning for computational pathology

tmi2022

A graph-transformer for whole slide image classification

transmil

TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification

transpath