Pinned Repositories
--linear-list
学校的作业,仅供参考
AdvSemiSeg
Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018
ArkNightAutoClick
明日方舟,自动点击(自动、未完成)
CTDNet
Code for ACM MM2021 paper "Complementary Trilateral Decoder for Fast and Accurate Salient Object Detection"
deepin-wine
【deepin源移植】Debian/Ubuntu上最快的QQ/微信安装方式
GCPANet
Global Context-Aware Progressive Aggregation Network for Salient Object Detection
lede
Lean's LEDE source
mean-teacher
A state-of-the-art semi-supervised method for image recognition
MoocFinder
调用助课宝接口实现网课题库查询 https://mooc.yukino.co/
RandomWalk
RandomWalk Stochastic Processes Work
Rougnt's Repositories
Rougnt/MoocFinder
调用助课宝接口实现网课题库查询 https://mooc.yukino.co/
Rougnt/--linear-list
学校的作业,仅供参考
Rougnt/AdvSemiSeg
Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018
Rougnt/ArkNightAutoClick
明日方舟,自动点击(自动、未完成)
Rougnt/CTDNet
Code for ACM MM2021 paper "Complementary Trilateral Decoder for Fast and Accurate Salient Object Detection"
Rougnt/deepin-wine
【deepin源移植】Debian/Ubuntu上最快的QQ/微信安装方式
Rougnt/GCPANet
Global Context-Aware Progressive Aggregation Network for Salient Object Detection
Rougnt/lede
Lean's LEDE source
Rougnt/mean-teacher
A state-of-the-art semi-supervised method for image recognition
Rougnt/PaddleRS
Awesome Remote Sensing Toolkit based on PaddlePaddle.
Rougnt/python-adbutil
Use adb to connect android devices. In python, easy to use.
Rougnt/RandomWalk
RandomWalk Stochastic Processes Work
Rougnt/PyTorch-Tutorial
Build your neural network easy and fast
Rougnt/Scribble_Saliency
Weakly-Supervised Salient Object Detection via Scribble Annotations, CVPR2020
Rougnt/VNR-Core
Archive of Visual Novel Reader source code. This repo contains the core VNR source. See also: https://github.com/Artikash/VNR-Extras
Rougnt/VNR-Extras
Archive of Visual Novel Reader source code. I think this repo contains only third party files and compiled/generated files. See also: https://github.com/Artikash/VNR-Core
Rougnt/yolov5
YOLOv5 in PyTorch > ONNX > CoreML > TFLite
Rougnt/yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors