Overcoming Scene Context Constraints for Object Detection in wild using Defilters

arXiv:2404.08293v1 Announce Type: new
Abstract: This paper focuses on improving object detection performance by addressing the issue of image distortions, commonly encountered in uncontrolled acquisition environments. High-level computer vision tasks such as object detection, recognition, and segmentation are particularly sensitive to image distortion. To address this issue, we propose a novel approach employing an image defilter to rectify image distortion prior to object detection. This method enhances object detection accuracy, as models perform optimally when trained on non-distorted images. Our …

abstract acquisition arxiv computer computer vision constraints context cs.cv detection environments image improving issue object paper performance recognition segmentation tasks type vision