The cascaded classifier has three stages: variance comparison, layers of pixel comparisons and patch correlation. Object model is a collection of templates ...

Mar 24, 2023 · Bibliographic details on Object detection on aerial image using cascaded binary classifier.

Sep 24, 2024 · S. Hamsa et al [17] proposed an approach for automatic vehicle detection from aerial images using a cascaded Gaussian Mixture Model (GMM) and ...

This paper proposes a feasible and lightweight object detection model based on deep CNN where a mobile inverted bottleneck module is adopted in the backbone ...

Jan 8, 2021 · The proposed AAF-Faster RCNN model uses the cascade method to effectively detect the small object in the image.

Apr 7, 2023 · Abstract. The article analyses the possibilities to use the unmanned aerial complexes in the system of decision.

This approach is easily integrated into any detector, and creates no significant change in the standard detection process, like the uniform cropping approach ...

This paper proposes an efficient Cascaded Zoom-in (CZ) detector that re-purposes the detector itself for density-guided training and inference.

Dec 11, 2023 · We present an expert teacher framework based on foundation image segmentation model called ET-FSM, which uses the unlabeled aerial images with ...

Object detection in optical remote sensing images (RSIs) is to determine if a given aerial or satellite image contains one or more objects belonging to the ...