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

沉思的魚

QuEST: Quantized Embedding Space for Transferring Knowledge,Most of the existing knowledge distillation methods direct the student to follow the teacher by matching the teacher’s output, feature maps or their distribution. In this work, we propose a novel way to achieve this goal: by distilling the knowledge through a . space. According to our method, the te

決定性

鉗子

Neutral-Spine

Dense RepPoints: Representing Visual Objects with Dense Point Sets,g both box level and pixel level. Techniques are proposed to efficiently process these dense points, maintaining near-constant complexity with increasing point numbers. Dense RepPoints is shown to represent and learn object segments well, with the use of a novel distance transform sampling method co

權(quán)宜之計(jì)

On Dropping Clusters to Regularize Graph Convolutional Neural Networks,promising performance on various tasks. However, the information of individually zeroed entries could still present in other correlated entries by propagating (1) spatially between entries of different node feature vectors and (2) depth-wisely between different entries of each node feature vector, w

brother

全國(guó)性

Hirsutism

DR-KFS: A Differentiable Visual Similarity Metric for 3D Shape Reconstruction,pes by measuring distances between multi-view images . rendered from the shapes. Importantly, the image-space distance is also differentiable and measures visual ., rather than pixel-wise distortion. Specifically, the similarity is defined by mean-squared errors over HardNet features computed from p

COM

ASSAY

Conference proceedings 2020n, 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 deal with top