Object Detection: Object detection typically involves two stages: (a) region proposal, where potential object locations are identified, and (b) object classification, where each proposed region is ...

Object detection or Object localization deals with the identification of objects in the frame and making a bounding box around the detected object. The difference between object detection and image ...

Change detection in heterogeneous remote sensing images is an important but challenging task because of the incommensurable appearances of the heterogeneous images. In order to solve the change ...

The model is designed for various tasks, including object detection, image classification, pose estimation, and real-time tracking. YOLOv11 features a streamlined architecture that reduces parameters ...

For the detection of moving small object, the traditional inter-frame difference method often leads to object hole and contour loss. In this paper, a moving small object detection algorithm based on ...

This figure illustrates the difference between digital and physical attacks in the context of remote sensing. ... particularly focusing on image classification and object detection.

OpenCV offers a wide range of functions for image processing, such as image filtering, feature detection, object detection, and more. Scikit-image is another popular image processing library in ...

The novel SBDet model introduces a relaxed rotation-equivariant network (R2Net) that improves object detection in scenarios with symmetry-breaking or non-rigid transformations. This innovation ...

More information: Shaohui Mei et al, A Comprehensive Study on the Robustness of Deep Learning-Based Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking, Journal ...