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1cycle-policy-experiment icon 1cycle-policy-experiment

A comparative experiment on using Leslie Smith's work on 1cycle Policy for hyper-parameter tuning of DNNs.

3ddfa_v2 icon 3ddfa_v2

The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

abdomenct-1k icon abdomenct-1k

The official repository of "AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?"

agnet icon agnet

The code of "Attention Guided Network for Retinal Image Segmentation" in MICCAI 2019

asap icon asap

Program for the analysis and visualization of whole-slide images in digital pathology

awesome-video-diffusion icon awesome-video-diffusion

A curated list of recent diffusion models for video generation, editing, restoration, understanding, etc.

camelyon icon camelyon

The solution to cameyon16 and camelyon17 challenge and also to your own WSI data project.

centernet icon centernet

Object detection, 3D detection, and pose estimation using center point detection:

centernet-pytorch icon centernet-pytorch

这是一个centernet-pytorch的源码,可以用于训练自己的模型。

chinesenlp icon chinesenlp

Datasets, SOTA results of every fields of Chinese NLP

clam icon clam

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

cora-- icon cora--

[CVPR 2024] High-Quality Facial Geometry and Appearance Capture at Home.

cotr icon cotr

[MICCAI2021] CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation

cv-surveys icon cv-surveys

2021 年,计算机视觉相关综述。包括目标检测、跟踪........

deca icon deca

DECA: Detailed Expression Capture and Animation (SIGGRAPH 2021)

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

deepslide icon deepslide

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

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