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3d-mri-brain-tumor-segmentation-using-autoencoder-regularization

Pytorch implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. [https://arxiv.org/abs/1810.11654]

a-pytorch-tutorial-to-image-captioning

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

academic-project-page-template

A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/

aicoco

“爱可可-爱生活”微博内容精选

ainet-1

ainet-superpixel

awesome-incremental-learning

Awesome Incremental Learning

awesome-multimodal-large-language-models

:sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.

awesome-stable-diffusion

Curated list of awesome resources for the Stable Diffusion AI Model.

awesome-tiny-object-detection

🕶 A curated list of Tiny Object Detection papers and related resources.

bailando

Code for CVPR 2022 paper "Bailando: 3D dance generation via Actor-Critic GPT with Choreographic Memory"

brats

PyTorch & Keras implementation for BraTs (Brain Tumor Segmentation)

cascadepsp

[CVPR2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement

chatgpt-web

用 Express 和 Vue3 搭建的 ChatGPT 演示网页

csm

Code release for "Canonical Surface Mapping via Geometric Cycle Consistency"

cvpr2021-paper-code-interpretation

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

data_transfer

diffusion-models-papers-survey-taxonomy

Diffusion model papers, survey, and taxonomy

distributed-pytorch

Distributed, mixed-precision training with PyTorch

entity

Open-World Entity Segmentation

focusnet-alpha

Code for Focusnet (ISBI2019) and FocusnetAlpha

hexo-blog

hrnet-semantic-segmentation

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

jhr-code

This repository present the core codes of method proposed by my paper "Joint Hypergraph Learning for Tag-based Image Retrieval". The codes, SemanticHyperGraph.m(SemanticHyperGraph_Main.m), VisJointHypergraph.m and adaHyperGraphLearning.m, present the sematnic hypergraph constuction, visual joint hypergraph construction and the adaptative hypergraph learning respectively. Many notes can also be found in the codes, you can refer to the spefic codes for more details.

kubric

A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.

label_image_script

The script to label image with a sentence

lang-seg

Language-Driven Semantic Segmentation

lite-prosenet

mad-code

mean-teacher

A state-of-the-art semi-supervised method for image recognition