E2E-MFD-OOD
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Updated
Aug 5, 2024 - Jupyter Notebook
E2E-MFD-OOD
A curated list of awesome resources for generic object detection in aerial images.
Oriented object detection on STAR dataset.
A novel physical adversarial attack tackling the Digital-to-Physical Visual Inconsistency problem.
Object Detection Dataset Tools. support dota、coco、yolo、pascal voc dataset convert and dota gap split
OBBDetection is an oriented object detection library, which is based on MMdetection.
This is a PyTorch-based R-YOLOv4 implementation which combines YOLOv4 model and loss function from R3Det for arbitrary oriented object detection.
The code for “Oriented RepPoints for Aerial Object Detection (CVPR 2022)”
(TGRS2023) PyTorch implementation of "EARL: An Elliptical Distribution aided Adaptive Label Assignment for Oriented Object Detection in Remote Sensing Images"
EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow
Official implementation for "Gaussian synthesis for high-precision location in oriented object detection"
JDet is an object detection benchmark based on Jittor. Mainly focus on aerial image object detection (oriented object detection).
A reimplementation of the S2ANet algorithm for Oriented Object Detection
Precise Vertex Regression and Feature Decoupling for Oriented Object Detection
Recalibrating Features and Regression for Oriented Object Detection
This is the implementation of GGHL (A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection)
PyTorch Implementation for H2RBox
Official release for "Foggy-DOTA: An Adverse weather Dataset for Object detection in Aerial images" - NICS2022
Jittor Implementation for H2RBox
This is a PyTorch based rotated object detection using yolov4, forked from https://github.com/kunnnnethan/R-YOLOv4.
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