Pinned Repositories
2pcnet
AndroidDev
BiSeNet
Add bisenetv2. My implementation of BiSeNet
C-background-development-interview-experience
C++后台开发面试经验
chat
The chatroom supply a place where we can chat together
Deformer-FPN
This is an FPN network that adds deformable convolutional DCNv3 and CARAFE upsampling operators on the basis of yolov5 model, and the average detection accuracy on the open-source dataset SSD reaches 91.89%, and the recall rate reaches 92.47%
demo
douyin
The first project coding by go language , I want to try
EdgeNeXt
[CADL'22, ECCVW] Official repository of paper titled "EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications".
efficientteacher
A Supervised and Semi-Supervised Object Detection Library for YOLO Series
Maple1024's Repositories
Maple1024/Deformer-FPN
This is an FPN network that adds deformable convolutional DCNv3 and CARAFE upsampling operators on the basis of yolov5 model, and the average detection accuracy on the open-source dataset SSD reaches 91.89%, and the recall rate reaches 92.47%
Maple1024/2pcnet
Maple1024/AndroidDev
Maple1024/BiSeNet
Add bisenetv2. My implementation of BiSeNet
Maple1024/C-background-development-interview-experience
C++后台开发面试经验
Maple1024/chat
The chatroom supply a place where we can chat together
Maple1024/demo
Maple1024/douyin
The first project coding by go language , I want to try
Maple1024/EdgeNeXt
[CADL'22, ECCVW] Official repository of paper titled "EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications".
Maple1024/efficientteacher
A Supervised and Semi-Supervised Object Detection Library for YOLO Series
Maple1024/learningcode
Maple1024/LPS-Net
Lightweight and Progressively-Scalable Networks for Semantic Segmentation
Maple1024/MaaAssistantArknights
《明日方舟》小助手，全日常一键长草！| A one-click tool for the daily tasks of Arknights, supporting all clients.
Maple1024/mooc_os_lab
OS Labs for MOOC
Maple1024/OAN
Maple1024/reggie
this is a takeaway platform
Maple1024/SSDA-YOLO
Codes for my paper "SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object Detection"
Maple1024/utils
Maple1024/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite