About

Object Detection in Aerial Images is the task of detecting objects from aerial images.

( Image credit: DOTA: A Large-Scale Dataset for Object Detection in Aerial Images )

Benchmarks

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Datasets

Greatest papers with code

Gliding vertex on the horizontal bounding box for multi-oriented object detection

21 Nov 2019xuannianz/EfficientDet

Yet, the widely adopted horizontal bounding box representation is not appropriate for ubiquitous oriented objects such as objects in aerial images and scene texts.

OBJECT DETECTION IN AERIAL IMAGES PEDESTRIAN DETECTION SCENE TEXT SCENE TEXT DETECTION

Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges

24 Feb 2021dingjiansw101/AerialDetection

In this paper, we present a large-scale Dataset of Object deTection in Aerial images (DOTA) and comprehensive baselines for ODAI.

OBJECT DETECTION IN AERIAL IMAGES

R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

15 Aug 2019Thinklab-SJTU/R3Det_Tensorflow

Considering the shortcoming of feature misalignment in existing refined single-stage detector, we design a feature refinement module to improve detection performance by getting more accurate features.

OBJECT DETECTION IN AERIAL IMAGES

Learning RoI Transformer for Oriented Object Detection in Aerial Images

CVPR 2019 dingjiansw101/AerialDetection

Object detection in aerial images is an active yet challenging task in computer vision because of the bird's-eye view perspective, the highly complex backgrounds, and the variant appearances of objects.

OBJECT CLASSIFICATION OBJECT DETECTION IN AERIAL IMAGES

DOTA: A Large-scale Dataset for Object Detection in Aerial Images

CVPR 2018 CAPTAIN-WHU/DOTA_devkit

The fully annotated DOTA images contains $188, 282$ instances, each of which is labeled by an arbitrary (8 d. o. f.)

OBJECT DETECTION IN AERIAL IMAGES

SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects

ICCV 2019 DetectionTeamUCAS/RetinaNet_Tensorflow_Rotation

Specifically, a sampling fusion network is devised which fuses multi-layer feature with effective anchor sampling, to improve the sensitivity to small objects.

OBJECT DETECTION IN AERIAL IMAGES SCENE TEXT

Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors

17 Aug 2020yijingru/BBAVectors-Oriented-Object-Detection

To address this issue, in this work we extend the horizontal keypoint-based object detector to the oriented object detection task.

OBJECT DETECTION IN AERIAL IMAGES

Align Deep Features for Oriented Object Detection

21 Aug 2020csuhan/s2anet

However most of existing methods rely on heuristically defined anchors with different scales, angles and aspect ratios and usually suffer from severe misalignment between anchor boxes and axis-aligned convolutional features, which leads to the common inconsistency between the classification score and localization accuracy.

OBJECT DETECTION IN AERIAL IMAGES

Learning RoI Transformer for Detecting Oriented Objects in Aerial Images

1 Dec 2018dingjiansw101/RoITransformer_DOTA

Especially when detecting densely packed objects in aerial images, methods relying on horizontal proposals for common object detection often introduce mismatches between the Region of Interests (RoIs) and objects.

CLASSIFICATION OBJECT CLASSIFICATION OBJECT DETECTION IN AERIAL IMAGES

Dynamic Anchor Learning for Arbitrary-Oriented Object Detection

8 Dec 2020ming71/DAL

With the newly introduced DAL, we achieve superior detection performance for arbitrary-oriented objects with only a few horizontal preset anchors.

 Ranked #1 on 2D Object Detection on DOTA (using extra training data)

MULTI-ORIENTED SCENE TEXT DETECTION OBJECT DETECTION IN AERIAL IMAGES