computation time because it needs to store focus measurement values for each depth and each window radius on a pixel-wise basis, and filtering to compute the mean value, which is performed twice, makes the relationship among neighboring pixels too strong to parallelize the pixel-wise processing. ...
Learning Multiple Pixelwise Tasks Based on Loss Scale Balancing Jae-Han Lee Korea University jaehanlee@mcl.korea.ac.kr Chul Lee Dongguk University chullee@dongguk.edu Chang-Su Kim Korea University changsukim@korea.ac.kr Abstract We propose a novel loss weighting alg...
To achieve parsimonious inference in per-pixel labeling tasks with a limited computational budget, we propose a \emph{Pixel-wise Attentional Gating} unit (\emph{PAG}) that learns to selectively process a subset of spatial locations at each layer of a deep convolutional network. PAG is a generic...
PatchMatch-RL: Deep MVS with Pixelwise Depth, Normal, and Visibility Jae Yong Lee, Joseph DeGol, Chuhang Zou, Derek Hoiem ICCV 2021|October 2021 Recent learning-based multi-view stereo (MVS) methods show excellent performance with dense cameras and small depth ranges. ...
Release code for the paper "Robust pixel-wise illuminant estimation algorithm for images with a low bit-depth"(2024 Optics Express) - shuwei666/Robust-pixel-wise-illuminant-estimation
Layer-wise Relevance Propagation (LRP) [33,78] uses backpropagation to compute relevance. LRP can be seen as a biased gradient towards positive values [27]. It is a generalised approach to visualise the contributions of non-linear classifiers by a pixel-wise decomposition of each pixel's outpu...
On 8K, height loss is 2.6 times smaller than on 4K and FHD With a higher-resolution display, it’s possible to achieve a more precise aspect ratio of the image when doing integer scaling on both axes with aspect-ratio correction enabled. For example, for the resolution of 256×224 ...
The element-wise multiplication of a sparse 0-1 matrix [Math Processing Error]Mt with [Math Processing Error]Zt in Fig. 1b represents this compressive subsampling process. The resulting matrix, [Math Processing Error]Yt, is the measurement data obtained from SDI system, with which the original...
Pixel-wise Attentional Gating for Scene Parsing Forpaperandslides, please refer to ourproject page Our entry to Robust Vision Challenge can be found heredepth estimationandsemantic segmentation. To achieve parsimonious inference in per-pixel labeling tasks with a limited computational budget, we propose...
Dense fusion [57] and pixel-wise voting network [44, 18] are proposed to overcome occlusions in the object pose estimation [19]. DPT [45] uses a dense prediction transformer for monocular depth estimation and semantic segmentation. Pyramid vision transformer [59] replaces convolutional neural ...