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Guangqi,Liu (刘广琦)'s Projects

attention-gated-networks icon attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

bccd_dataset icon bccd_dataset

BCCD (Blood Cell Count and Detection) Dataset is a small-scale dataset for blood cells detection.

caffe-vdsr icon caffe-vdsr

A Caffe-based implementation of very deep convolution network for image super-resolution

cellsegmentation_tip2015 icon cellsegmentation_tip2015

Code for the paper "An Improved Joint Optimization of Multiple Level Set Functions for the Segmentation of Overlapping Cervical Cells" published on IEEE Transactions on Image Processing

chromeappheroes icon chromeappheroes

🌈谷粒-Chrome插件英雄榜, 为优秀的Chrome插件写一本中文说明书, 让Chrome插件英雄们造福人类~ ChromePluginHeroes, Write a Chinese manual for the excellent Chrome plugin, let the Chrome plugin heroes benefit the human~

cocoapi icon cocoapi

COCO API - Dataset @ http://cocodataset.org/

comparisondetector icon comparisondetector

The implement for Comparison Detector: Convolutional Neural Networks for Cervical Cell Detection in the Limited-data Scenario.

convcrf icon convcrf

This repository contains the reference implementation for our proposed Convolutional CRFs.

detectron2 icon detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

dissect icon dissect

Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural Network"

download icon download

🔴蓝灯最新版本下载 https://github.com/getlantern/download 🔴 Lantern Latest Download https://github.com/getlantern/lantern/releases/tag/latest 🔴

drrn_cvpr17 icon drrn_cvpr17

Code for our CVPR'17 paper "Image Super-Resolution via Deep Recursive Residual Network"

esrgan icon esrgan

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)

external-attention-pytorch icon external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

hyperas icon hyperas

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

image_segmentation icon image_segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

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