21 research outputs found

    Feature Activation Map: Visual Explanation of Deep Learning Models for Image Classification

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    Decisions made by convolutional neural networks(CNN) can be understood and explained by visualizing discriminative regions on images. To this end, Class Activation Map (CAM) based methods were proposed as powerful interpretation tools, making the prediction of deep learning models more explainable, transparent, and trustworthy. However, all the CAM-based methods (e.g., CAM, Grad-CAM, and Relevance-CAM) can only be used for interpreting CNN models with fully-connected (FC) layers as a classifier. It is worth noting that many deep learning models classify images without FC layers, e.g., few-shot learning image classification, contrastive learning image classification, and image retrieval tasks. In this work, a post-hoc interpretation tool named feature activation map (FAM) is proposed, which can interpret deep learning models without FC layers as a classifier. In the proposed FAM algorithm, the channel-wise contribution weights are derived from the similarity scores between two image embeddings. The activation maps are linearly combined with the corresponding normalized contribution weights, forming the explanation map for visualization. The quantitative and qualitative experiments conducted on ten deep learning models for few-shot image classification, contrastive learning image classification and image retrieval tasks demonstrate the effectiveness of the proposed FAM algorithm.Comment: 14 page

    Image Feature Information Extraction for Interest Point Detection: A Comprehensive Review

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    Interest point detection is one of the most fundamental and critical problems in computer vision and image processing. In this paper, we carry out a comprehensive review on image feature information (IFI) extraction techniques for interest point detection. To systematically introduce how the existing interest point detection methods extract IFI from an input image, we propose a taxonomy of the IFI extraction techniques for interest point detection. According to this taxonomy, we discuss different types of IFI extraction techniques for interest point detection. Furthermore, we identify the main unresolved issues related to the existing IFI extraction techniques for interest point detection and any interest point detection methods that have not been discussed before. The existing popular datasets and evaluation standards are provided and the performances for eighteen state-of-the-art approaches are evaluated and discussed. Moreover, future research directions on IFI extraction techniques for interest point detection are elaborated

    Selected Topics in Advanced Optical Design and Engineering

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    Optical imaging has seen significant development over the last few decades thanks to the advances of light sources and innovative imaging modalities. New quests have opened for advanced optical system design and engineering that require comprehensive understanding of theory and extensive computer simulations. This dissertation discusses several selected topics in advanced optical design and engineering, including new optical design considerations for systems with ultrafast illumination, engineering of a reflective microscope system in the vacuum ultraviolet and a method to design apochromat and superachromat objectives. For optical systems with ultrafast illumination, a modified definition of Strehl ratio is proposed to quantify chromatic and temporal behavior of ultrafast laser pulses at the optical focus. A simple method to obtain approximate numerical solutions is given with the help of ray tracing software. Effects of monochromatic aberrations, material dispersion up to the second order and pupil aberrations are discussed. System engineering of an imaging microscope illuminated with hydrogen Lyman-? line at 121.6nm is discussed. Challenges of diamond turning fabrication technology are described. Alignment and testing procedures are presented. A correction phase plate design is proposed for improving the as-built system performance, and a sensitivity analysis is carried out. For future work, a new two-stage system design is proposed to address the limitations of the current system. A simple method to design apochromats is proposed, where an apochromat is formed by combining two achromatic doublets with proper scaling of the focal lengths. A scaling formula is derived to calculate the focal lengths of each component. The formula is developed for lenses in contact and remote lenses with different marginal ray heights

    Air lens vs aspheric surface: a lens design case study

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    We discuss the behavior of air lenses in lens design. The structural aberration coefficients of a thin air lens are derived and compared with their glass thin lens counterpart. Examples are provided for a telephoto lens and the Monochromatic Quartet where air lenses or aspheric surfaces are used.This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

    Supplementary material: Strehl ratio for optical systems with ultrafast illumination

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    This fileset contains supplementary material for paper titled "Strehl ratio for optical systems with ultrafast illumination"<div><div><br></div><div><br></div><div>Last Updated in JUN 2018 by Weichuan Gao</div></div
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