CVPR 2025 论文和开源项目合集

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.

A curated list of awesome Mix

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Pytorch🍊🍉 is delicious, just eat it! 😋😋

✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】

A playbook for systematically maximizing the performance of deep learning models.

Squeeze-and-Excitation Networks

一些关于目标检测的脚本的改进思路代码，详细请看readme.md

End-to-End Object Detection with Transformers

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Visualizer for neural network, deep learning and machine learning models

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

A hyperparameter optimization framework

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

🔥🔥🔥 专注于YOLO11，YOLOv8、TYOLOv12、YOLOv10、RT-DETR、YOLOv7、YOLOv5改进模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀

HRSID: high resolution sar images dataset for ship detection, semantic segmentation, and instance segmentation tasks.