Results 11 to 20 of about 3,174,638 (320)
TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization [PDF]
IEEE International Conference on Computer Vision, 2021 Weakly supervised object localization (WSOL) is a challenging problem when given image category labels but requires to learn object localization models.
Wei Gao +7 more
semanticscholar +1 more source
Eigen-CAM: Class Activation Map using Principal Components [PDF]
IEEE International Joint Conference on Neural Network, 2020 Deep neural networks are ubiquitous due to the ease of developing models and their influence on other domains. At the heart of this progress is convolutional neural networks (CNNs) that are capable of learning representations or features given a set of ...
Mohammed Bany Muhammad, M. Yeasin
semanticscholar +1 more source
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization [PDF]
International Journal of Computer Vision, 2016 We propose a technique for producing ‘visual explanations’ for decisions from a large class of Convolutional Neural Network (CNN)-based models, making them more transparent and explainable.
Ramprasaath R. Selvaraju +5 more
semanticscholar +1 more source
Mycopathologia, 2021 Severe coronavirus disease (COVID-19) is currently managed with systemic glucocorticoids. Opportunistic fungal infections are of concern in such patients. While COVID-19 associated pulmonary aspergillosis is increasingly recognized, mucormycosis is rare.
Deepak Garg +8 more
semanticscholar +1 more source
Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2017 Over the last decade, Convolutional Neural Network (CNN) models have been highly successful in solving complex vision based problems. However, deep models are perceived as "black box" methods considering the lack of understanding of their internal ...
Aditya Chattopadhyay +3 more
semanticscholar +1 more source
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019 Recently, increasing attention has been drawn to the internal mechanisms of convolutional neural networks, and the reason why the network makes specific decisions.
Haofan Wang +7 more
semanticscholar +1 more source
Underwater CAM photosynthesis elucidated by Isoetes genome
Nature Communications, 2021 To conserve water in arid environments, numerous plant lineages have independently evolved Crassulacean Acid Metabolism (CAM). Interestingly, Isoetes, an aquatic lycophyte, can also perform CAM as an adaptation to low CO2 availability underwater. However,
David Wickell +13 more
semanticscholar +1 more source
Design of isotropic-tensile-strength lattice structure fabricated by AM
Nihon Kikai Gakkai ronbunshu, 2019 In this work, lattice structures appropriate for Additive Manufacturing (AM) are discussed and designed. By using AM, it becomes easy to realize original arbitral mechanical properties, in terms of anisotropy, vibration characteristic, light weight, and ...
Koki JIMBO, Toshitake TATENO
doaj +1 more source
Light-responsive expression atlas reveals the effects of light quality and intensity in Kalanchoë fedtschenkoi, a plant with crassulacean acid metabolism. [PDF]
, 2020 BackgroundCrassulacean acid metabolism (CAM), a specialized mode of photosynthesis, enables plant adaptation to water-limited environments and improves photosynthetic efficiency via an inorganic carbon-concentrating mechanism.
Borland, Anne M +17 more
core +2 more sources
CAM photosynthesis: the acid test
New Phytologist, 2021 Summary There is currently considerable interest in the prospects for bioengineering crassulacean acid metabolism (CAM) photosynthesis – or key elements associated with it, such as increased water‐use efficiency – into C3 plants.
K. Winter, J. A. Smith
semanticscholar +1 more source