(TGRS2023) PyTorch implementation of "EARL: An Elliptical Distribution aided Adaptive Label Assignment for Oriented Object Detection in Remote Sensing Images"
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Updated
Oct 11, 2023 - Python
(TGRS2023) PyTorch implementation of "EARL: An Elliptical Distribution aided Adaptive Label Assignment for Oriented Object Detection in Remote Sensing Images"
A novel physical adversarial attack tackling the Digital-to-Physical Visual Inconsistency problem.
Official release for "Foggy-DOTA: An Adverse weather Dataset for Object detection in Aerial images" - NICS2022
Oriented object detection on RSG dataset.
An oriented object detection framework based on TensorRT
Recalibrating Features and Regression for Oriented Object Detection
Official implementation for "Gaussian synthesis for high-precision location in oriented object detection"
Precise Vertex Regression and Feature Decoupling for Oriented Object Detection
This is a PyTorch based rotated object detection using yolov4, forked from https://github.com/kunnnnethan/R-YOLOv4.
Jittor Implementation for H2RBox
Object Detection Dataset Tools. support dota、coco、yolo、pascal voc dataset convert and dota gap split
A reimplementation of the S2ANet algorithm for Oriented Object Detection
A curated list of awesome resources for generic object detection in aerial images.
PyTorch Implementation for H2RBox
Code for our paper "DAFNe: A One-Stage Anchor-Free Deep Model for Oriented Object Detection".
Oriented Object Detection: Oriented RepPoints + Swin Transformer/ReResNet
This is a PyTorch-based R-YOLOv4 implementation which combines YOLOv4 model and loss function from R3Det for arbitrary oriented object detection.
RRD: Rotation-Sensitive Regression for Oriented Scene Text Detection
JDet is an object detection benchmark based on Jittor. Mainly focus on aerial image object detection (oriented object detection).
The code for “Oriented RepPoints for Aerial Object Detection (CVPR 2022)”
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