English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Object detection in aerial images is a challenging task due to the lack ofvisible features and variant orientation of objects. Significant progress hasbeen made recently for predicting targets from aerial images with horizontalbounding boxes (HBBs) and oriented bounding boxes (OBBs) using two-stagedetectors with region based convolutional neural networks (R-CNN), involvingobject localization in one stage and object classification in the other.However, the computational complexity in two-stage detectors is often high,especially for orientational object detection, due to anchor matching and usingregions of interest (RoI) pooling for feature extraction. In this paper, wepropose a one-stage anchor free detector for orientational object detection,namely, an interactive embranchment network (IENet), which is built upon adetector with prediction in per-pixel fashion. First, a novel geometrictransformation is employed to better represent the oriented object in angleprediction, then a branch interactive module with a self-attention mechanism isdeveloped to fuse features from classification and box regression branches.Finally, we introduce an enhanced intersection over union (IoU) loss for OBBdetection, which is computationally more efficient than regular polygon IoU.Experiments conducted demonstrate the effectiveness and the superiority of ourproposed method, as compared with state-of-the-art detectors.

IENet: Interacting Embranchment One Stage Anchor Free Detector for Orientation Aerial Object Detection