Pinned Repositories
-
深度学习经典、新论文逐段精读
Ai-Learn
人工智能学习路线图包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
AI_ComplexEnv
Object Detection and Recognition in Complex Environmental Conditions
Awesome-algorithm-interview
算法工程师(人工智能CV方向)面试问题及相关资料
cs231n_hw
cs231n assignments sovled by https://ghli.org
CVPR2023-Papers-with-Code
CVPR 2023 论文和开源项目合集
DA_Detection_Paper
A Collection of Domain Adaptation for Object Detection Material
ICCV_MAET
[ICCV 2021] Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection. A self-supervised learning way for low-light image object detection.
King-of-Pigeon
联系导师邮件(包括如何鸽)
pytorch-Deep-Learning
Deep Learning (with PyTorch)
EstrellaXyu's Repositories
EstrellaXyu/CVPR2023-Papers-with-Code
CVPR 2023 论文和开源项目合集
EstrellaXyu/-
深度学习经典、新论文逐段精读
EstrellaXyu/Ai-Learn
人工智能学习路线图包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
EstrellaXyu/AI_ComplexEnv
Object Detection and Recognition in Complex Environmental Conditions
EstrellaXyu/Awesome-algorithm-interview
算法工程师(人工智能CV方向)面试问题及相关资料
EstrellaXyu/cs231n_hw
cs231n assignments sovled by https://ghli.org
EstrellaXyu/DA_Detection_Paper
A Collection of Domain Adaptation for Object Detection Material
EstrellaXyu/ICCV_MAET
[ICCV 2021] Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection. A self-supervised learning way for low-light image object detection.
EstrellaXyu/King-of-Pigeon
联系导师邮件(包括如何鸽)
EstrellaXyu/pytorch-Deep-Learning
Deep Learning (with PyTorch)
EstrellaXyu/PyTorchTricks
Some tricks of pytorch... :star:
EstrellaXyu/Retinexformer
"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023)