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Titlebook: Computer Vision – ECCV 2020; 16th European Confer Andrea Vedaldi,Horst Bischof,Jan-Michael Frahm Conference proceedings 2020 Springer Natur

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11#
發(fā)表于 2025-3-23 11:21:29 | 只看該作者
12#
發(fā)表于 2025-3-23 14:11:48 | 只看該作者
Toward Faster and Simpler Matrix Normalization via Rank-1 Update,ssive performance of bilinear pooling. The standard matrix normalization, however, needs singular value decomposition (SVD), which is not well suited in the GPU platform, limiting its efficiency in training and inference. To resolve this issue, the Newton-Schulz (NS) iteration method has been propos
13#
發(fā)表于 2025-3-23 18:56:09 | 只看該作者
Accurate Polarimetric BRDF for Real Polarization Scene Rendering,roblems of polarization. To overcome such problems, some research works have suggested to use Convolutional Neural Network (CNN). But acquiring large scale dataset with polarization information is a very difficult task. If there is an accurate model which can describe a complicated phenomenon of pol
14#
發(fā)表于 2025-3-24 01:33:06 | 只看該作者
Lensless Imaging with Focusing Sparse URA Masks in Long-Wave Infrared and Its Application for Humantwo parts: a novel lensless imaging method that utilizes the idea of local directional focusing for optimal binary sparse coding, and lensless imaging simulator based on Fresnel-Kirchhoff diffraction approximation. Our lensless imaging approach, besides being computationally efficient, is calibratio
15#
發(fā)表于 2025-3-24 03:55:57 | 只看該作者
16#
發(fā)表于 2025-3-24 07:42:27 | 只看該作者
17#
發(fā)表于 2025-3-24 12:30:52 | 只看該作者
UFO,: A Unified Framework Towards Omni-supervised Object Detection, cheaper but less expressive image-level tags. However, real-world annotations are often diverse in form, which challenges these existing works. In this paper, we present UFO., a unified object detection framework that can handle different forms of supervision simultaneously. Specifically, UFO. inco
18#
發(fā)表于 2025-3-24 15:28:28 | 只看該作者
iCaps: An Interpretable Classifier via Disentangled Capsule Networks, last layer is called a class capsule, which is a vector whose norm indicates a predicted probability for the class. Using the class capsule, existing Capsule Networks already provide some level of interpretability. However, there are two limitations which degrade its interpretability: 1) the class
19#
發(fā)表于 2025-3-24 19:29:57 | 只看該作者
20#
發(fā)表于 2025-3-25 01:22:40 | 只看該作者
0302-9743 uter Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic..The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers dea
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