Modern convolutional object detectors for nuclei detection on pleural effusion cytology images
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-7461-3
Abstract: Nuclei detection is a crucial step in the cell-based analysis of a wide range of pathological images. It is also the basis of many automated methods such as cell counting, segmentation, and tracking. Nevertheless, it… read more here.
Keywords: detection; object detectors; pathology; modern convolutional ... See more keywords
3D reconstruction of a concrete mixer truck for training object detectors
Sign Up to like & getrecommendations! Published in 2018 at "Automation in Construction"
DOI: 10.1016/j.autcon.2017.12.034
Abstract: Abstract Vision-based monitoring methods have been actively studied in the construction industry because they can be used to automatically generate information related to progress, productivity, and safety. Object detection is essentially used in such monitoring… read more here.
Keywords: image data; training object; construction; object detectors ... See more keywords
Dynamic loss for one‐stage object detectors in computer vision
Sign Up to like & getrecommendations! Published in 2018 at "Electronics Letters"
DOI: 10.1049/el.2018.6712
Abstract: A dynamic loss (DL) is proposed for the one-stage object detectors in computer vision, as an improved version of the focal loss in the literature. The proposed loss features a second-order item which can efficiently… read more here.
Keywords: object detectors; dynamic loss; one stage; stage object ... See more keywords
CP-CNN: Computational Parallelization of CNN-based Object Detectors in Heterogeneous Embedded Systems for Autonomous Driving
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3280552
Abstract: The success of research using convolutional neural network (CNN)-based camera sensor processing for autonomous driving has accelerated the development of autonomous driving vehicles. Since autonomous driving algorithms require high-performance computing for fast and accurate perception,… read more here.
Keywords: based object; heterogeneous embedded; cnn based; object detectors ... See more keywords
What’s in the Black Box? The False Negative Mechanisms Inside Object Detectors
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3187831
Abstract: In object detection, false negatives arise when a detector fails to detect a target object. To understand why object detectors produce false negatives, we identify five ‘false negative mechanisms,’ where each mechanism describes how a… read more here.
Keywords: datasets robotics; false negative; robotics; box ... See more keywords