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Object Detection In Aerial Images

8 papers with code · Computer Vision
Subtask of Object Detection

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 )

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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

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

CVPR 2018 jessemelpolio/Faster_RCNN_for_DOTA

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

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

CVPR 2018 jessemelpolio/Faster_RCNN_for_DOTA

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/R2CNN-Plus-Plus_Tensorflow

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

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

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.

OBJECT CLASSIFICATION OBJECT DETECTION IN AERIAL IMAGES

Clustered Object Detection in Aerial Images

ICCV 2019 fyangneil/Clustered-Object-Detection-in-Aerial-Image

The key components in ClusDet include a cluster proposal sub-network (CPNet), a scale estimation sub-network (ScaleNet), and a dedicated detection network (DetecNet).

OBJECT DETECTION IN AERIAL IMAGES

DroNet: Efficient convolutional neural network detector for real-time UAV applications

18 Jul 2018gplast/DroNet

Through the analysis we propose a CNN architecture that is capable of detecting vehicles from aerial UAV images and can operate between 5-18 frames-per-second for a variety of platforms with an overall accuracy of ~95%.

OBJECT DETECTION IN AERIAL IMAGES ONE-SHOT OBJECT DETECTION REAL-TIME OBJECT DETECTION