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Name: Xu Wei
Type: User
Company: HoHai University
Bio: student of HoHai University
Name: Xu Wei
Type: User
Company: HoHai University
Bio: student of HoHai University
Official PyTorch Implementation of Learning What Not to Segment: A New Perspective on Few-Shot Segmentation (CVPR 2022 Oral).
BCDU-Net : Medical Image Segmentation
Context Axial Reverse Attention Network for Small Medical Objects Segmentation
Official and maintained implementation of the paper "Attention-Based Transformers for Instance Segmentation of Cells in Microstructures" [BIBM 2020].
Code examples in pyTorch and Tensorflow for CS230
CVPR 2022 论文和开源项目合集
The official code for DADA: Differentiable Automatic Data Augmentation (ECCV20)
[CVPR‘22] Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization
一个简单的教务查询系统(主要技术SpringMVC + Spring + Mybatis + Shiro + Bootstrap)
计算机网络:自顶向下方法 (原书第七版)陈鸣译 课后习题参考答案(中文版+英文版);计算机系统基础(第2版)袁春风 课后习题参考答案;操作系统教程(第5版)费翔林 课后习题参考答案;数据结构(用C++描述)殷人昆)课后习题参考答案;算法设计与分析 黄宇 课后习题参考答案;
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
LaTeX的一些模板
A list of Medical imaging datasets.
Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
AI Toolkit for Healthcare Imaging
南京大学计算机科学与技术845考研公共课和专业课资料:数学一、英语一、政治、数据结构、计算机网络、计算机系统基础、操作系统教程、算法设计与分析-包括真题、期末考试、PPT、模拟题、专业课参考书及课后答案、报录比、经验等等
Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers
PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral). Code using Jittor Framework is available.
Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
PyTorch implementation of UNet++ (Nested U-Net).
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Medical Image Segmentation (Spine Bone Segmentation with limited paired data)
Medical Image Segmentation using Squeeze-and-Expansion Transformers
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
轮播图
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