A brief survey of visual saliency detection
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-08849-y
Abstract: Salient object detection models mimic the behavior of human beings and capture the most salient region/object from the images or scenes, this field contains many important applications in both computer vision and pattern recognition tasks.… read more here.
Keywords: object detection; brief survey; saliency; detection ... See more keywords
Evaluating Cross-Applicability of Weed Detection Models Across Different Crops in Similar Production Environments
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.837726
Abstract: Convolutional neural networks (CNNs) have revolutionized the weed detection process with tremendous improvements in precision and accuracy. However, training these models is time-consuming and computationally demanding; thus, training weed detection models for every crop-weed environment… read more here.
Keywords: crop; applicability weed; weed detection; detection ... See more keywords
Performance Evaluation of Different Object Detection Models for the Segmentation of Optical Cups and Discs
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12123031
Abstract: Glaucoma is an eye disease that gradually deteriorates vision. Much research focuses on extracting information from the optic disc and optic cup, the structure used for measuring the cup-to-disc ratio. These structures are commonly segmented… read more here.
Keywords: different object; cups discs; detection; object detection ... See more keywords
An Ensemble of Deep Learning Object Detection Models for Anatomical and Pathological Regions in Brain MRI
Sign Up to like & getrecommendations! Published in 2023 at "Diagnostics"
DOI: 10.3390/diagnostics13081494
Abstract: This paper proposes ensemble strategies for the deep learning object detection models carried out by combining the variants of a model and different models to enhance the anatomical and pathological object detection performance in brain… read more here.
Keywords: brain mri; detection; detection models; object detection ... See more keywords