State-of-the-art models predicting a unified shading map achieve very similar results. On the other hand, our proposed method suppresses also the baseline models that estimate the fine-grained shading components, which highlights the importance of our design choices. Among the models, IIDWW ...
The Sharing Networked Images Practices (SNIP) mAPPing workshops were developed to map the relational pathways of sexual images and how they are both understood, but also produced—taken, shared and received by young people, through drawing exercises about social media image based applications (hence ...
Then the element-wise sum is used to ob- tain the final feature map FR=F0+F1. Finally, ARFT em- ploys the pixel shuffle layer to generate the high-resolution image ISR from the feature FR. As shown in Fig. 3(b), two attention strategies,...
Further, due to dense connections among DSDCs, the final feature map acquires multi-scale information with expanded receptive field as compared to SDC. Due to dense pyramid nature, it is very effective to propagate the extracted feature from lower dilated convolutional layers (DCLs) to middle and...
e, The correlation coefficient map of the prepared 35 materials. Source Data Extended Data Fig. 9 Modulation material preparation and transmission spectra measurements. a, Schematic diagram depicting the production of experimental smears using spectral modulation materials. This process follows the steps ...
The aim of this paper is to map agricultural crops by classifying satellite image time series. Domain experts in agriculture work with crop type labels that are organised in a hierarchical tree structure, where coarse classes (like orchards) are subdivided into finer ones (like apples, pears, vi...
AGPL-3.0 license Cite GIBBON: License: Join chat: Table of contents Project Summary Application highlights Installation Getting started Testing License Citing GIBBON Contributing Code of conduct Road Map Projects using GIBBON Project summary GIBBON (The Geometry and Image-Based Bioengineering add-ON) is...
For example, if your data contains a Label column, you can map it to the Category field. If your data contains a Confidence column, you can map it to the Confidence field. If you're importing labels from a previous project, the labels must be in the same format as the labels you're...
In [4] the super-pixel segmentation map is given, along with the target image, as input to a VGGNet. Features at different levels are extracted for each of the input super-pixels. Finally, high-level features undergo a so called “relocation phase” to obtain a localization mask at the ...
An effective infrared and visible image fusion approach via rolling guidance filtering and gradient saliency map. Remote Sens. 2023, 15, 2486. [Google Scholar] [CrossRef] Wang, J.; Xi, X.; Li, D.; Li, F.; Zhang, G. GRPAFusion: A gradient residual and pyramid attention-based multi...