A curated list of resources for using LLMs to develop more competitive grant applications.

A prototype code repository for construction image dense captioning and safety hazard identification.

🔥 💪 Crack-Detection-and-Segmentation-Dataset-for-UAV-Inspection

Complementary networks based on CNN and Transformer

matlab and python wrap of crf and dense crf, both 2d and 3d are supported

offical code for: Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions. MICCAI 2023.

List shared papers in our group

Awesome Active Domain Adaptation for Medical Image Analysis

Dynamically Mixed Soft Pseudo-label Supervision for Scribble-Supervised Medical Image Segmentation

Uncertainty-Guided Interactive Refinement for Segmentation

这是各个主干网络分类模型的源码，可以用于训练自己的分类模型。

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

Anomaly Detection via Reverse Distillation from One-Class Embedding

Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation, CVPR 2018

This is a PyTorch implementation of the paper "Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization (MMAL-Net)" (Fan Zhang, Meng Li, Guisheng Zhai, Yizhao Liu).

Easy to use Python command line based tool to generate a gaze point heatmap from a csv file. 👁️

This repo includes the CUB-GHA (Gaze-based Human Attention) dataset and code of the paper "Human Attention in Fine-grained Classification".

Observational Supervision for Medical Image Classification using Gaze Data

Gaze Embeddings for Zero-Shot Image Classification CVPR17

Official Code for GazeGNN: A Gaze-guided Graph Neural Network for Chest X-ray Classification [WACV 2024]

This is the code of my master thesis.

Computational Fluid Dynamics in JAX

One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification

PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics