Diagnodent and VistaCam may be unsuitable for the evaluation of dental caries in archeological teeth.
Sign Up to like & getrecommendations! Published in 2019 at "American journal of physical anthropology"
DOI: 10.1002/ajpa.23785
Abstract: OBJECTIVES The aim of the study was to compare the usefulness of fluorescence-based caries detection systems (Diagnodent and VistaCam) for the assessment of carious lesions on archeological molars. MATERIALS AND METHODS The study material consisted… read more here.
Keywords: vistacam may; diagnodent vistacam; archeological teeth; visual classification ... See more keywords
Exploiting Category Similarity-Based Distributed Labeling for Fine-Grained Visual Classification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3030249
Abstract: The fine-grained visual classification (FGVC) which aims to distinguish subtle differences among subcategories is an important computer vision task. However, one issue that limits model performance is the problem of diversity within subcategories. To this… read more here.
Keywords: category similarity; based distributed; grained visual; fine grained ... See more keywords
Few-Shot Visual Classification Using Image Pairs With Binary Transformation
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2019.2920783
Abstract: Accurately classifying images using few-shot samples have been widely explored by researchers. However, these methods have two drawbacks. First, images are often used independently. Second, class imbalance is ignored and hinders the classification accuracy with… read more here.
Keywords: using image; image; image pairs; pairs binary ... See more keywords
Deep Fuzzy Tree for Large-Scale Hierarchical Visual Classification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2019.2936801
Abstract: Deep learning models often use a flat softmax layer to classify samples after feature extraction in visual classification tasks. However, it is hard to make a single decision of finding the true label from massive… read more here.
Keywords: tree large; hierarchical classification; fuzzy tree; deep fuzzy ... See more keywords
AP-CNN: Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2021.3055617
Abstract: Classifying the sub-categories of an object from the same super-category (e.g., bird species and cars) in fine-grained visual classification (FGVC) highly relies on discriminative feature representation and accurate region localization. Existing approaches mainly focus on… read more here.
Keywords: attention; grained visual; cnn; fine grained ... See more keywords
M-SAC-VLADNet: A Multi-Path Deep Feature Coding Model for Visual Classification
Sign Up to like & getrecommendations! Published in 2018 at "Entropy"
DOI: 10.3390/e20050341
Abstract: Vector of locally aggregated descriptor (VLAD) coding has become an efficient feature coding model for retrieval and classification. In some recent works, the VLAD coding method is extended to a deep feature coding model which… read more here.
Keywords: coding model; feature coding; feature; visual classification ... See more keywords