Official release for "Foggy-DOTA: An Adverse weather Dataset for Object detection in Aerial images" - NICS2022
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Updated
Feb 12, 2023
Official release for "Foggy-DOTA: An Adverse weather Dataset for Object detection in Aerial images" - NICS2022
Official implementation for "Gaussian synthesis for high-precision location in oriented object detection"
Recalibrating Features and Regression for Oriented Object Detection
This is a PyTorch based rotated object detection using yolov4, forked from https://github.com/kunnnnethan/R-YOLOv4.
Precise Vertex Regression and Feature Decoupling for Oriented Object Detection
Jittor Implementation for H2RBox
A reimplementation of the S2ANet algorithm for Oriented Object Detection
E2E-MFD-OOD
(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.
An oriented object detection framework based on TensorRT
Object Detection Dataset Tools. support dota、coco、yolo、pascal voc dataset convert and dota gap split
Oriented object detection on STAR dataset.
Code for our paper "DAFNe: A One-Stage Anchor-Free Deep Model for Oriented Object Detection".
A curated list of awesome resources for generic object detection in aerial images.
PyTorch Implementation for H2RBox
RRD: Rotation-Sensitive Regression for Oriented Scene Text Detection
This is a PyTorch-based R-YOLOv4 implementation which combines YOLOv4 model and loss function from R3Det for arbitrary oriented object detection.
Oriented Object Detection: Oriented RepPoints + Swin Transformer/ReResNet
JDet is an object detection benchmark based on Jittor. Mainly focus on aerial image object detection (oriented object detection).
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