Stars
yolov5 + csl_label.(Oriented Object Detection)（Rotation Detection）（Rotated BBox）基于yolov5的旋转目标检测
🚀🚀🚀 YOLOv5 of PaddleDetection, Paddle implementation of YOLOv5
这是一个yolov5-v6.1-pytorch的源码，可以用于训练自己的模型。
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
目标检测数据集制作:VOC,COCO,YOLO等常用数据集格式的制作和互相转换脚本
Object recognition in satellite images (Dior Dataset) using RetinaNet and YoloV5
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
This work uses PaNet to realize Detection and Recognition in Remote Sensing Image by MXNet
Maritime vessel detection from remote sensing SAR data, based on the architectures of the Faster-RCNN and YOLOv5 networks.
✨✨ 🛰️ Official repository of paper on improved two-parameter CFAR algorithm based on Rayleigh distribution and Mathematical Morphology for SAR ship detection. ✨✨
High resolution SAR image vehicle detection dataset collected from Sandia MiniSAR/FARAD SAR images and MSTAR images
Hybrid network simulation with base station and satellite. It enables comparing D2D caching algorithms.
👁 2022年数字中国创新大赛 (DCIC 2022) 卫星应用赛题——海上船舶智能检测第三名解决方案
IN this repo, we will train detectron2 retinanet model on SAR images of ships and perfrom object detection
HRSID: high resolution sar images dataset for ship detection, semantic segmentation, and instance segmentation tasks.
The is a SAR Ship Dataset modified from HRSID(A High-Resolution SAR Images Dataset for Ship Detection and Instance Segmentation),the dataset modified some annotition problems of the original dataset.
SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis
A collection of some awesome public object detection and recognition datasets.
DiffDet4SAR: Diffusion-based Aircraft Target Detection Network for SAR Images(GRSL 2024)
[ICLR 2024 Oral] Less is More: Fewer Interpretable Region via Submodular Subset Selection
Infrared and visible image fusion based on visual saliency map and weighted least square optimization
This is official Pytorch implementation of "SwinFusion: Cross-domain Long-range Learning for General Image Fusion via Swin Transformer"
Batchwise Zero Normalized Cross Correlation for Pytorch
Stereo Matching -- Normalized Cross Correlation by python