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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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51#
發(fā)表于 2025-3-30 10:27:21 | 只看該作者
Representative-Discriminative Learning for Open-Set Land Cover Classification of Satellite Imagery,ace to the embedding feature space that facilitates differentiating similar classes, and further 2) enhances both the representative and discriminative capacity through transformation to a so-called abundance space. Experiments on multiple satellite benchmarks demonstrate effectiveness of the propos
52#
發(fā)表于 2025-3-30 14:46:00 | 只看該作者
53#
發(fā)表于 2025-3-30 16:41:43 | 只看該作者
54#
發(fā)表于 2025-3-30 21:12:35 | 只看該作者
55#
發(fā)表于 2025-3-31 01:53:04 | 只看該作者
Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural Networks,lock is straightforward, requiring few lines of extra code. Lastly, WE mechanisms can provide complementary benefits when used with external attention mechanisms such as the popular Squeeze-and-Excitation attention block.
56#
發(fā)表于 2025-3-31 07:34:21 | 只看該作者
57#
發(fā)表于 2025-3-31 10:31:53 | 只看該作者
58#
發(fā)表于 2025-3-31 16:17:41 | 只看該作者
59#
發(fā)表于 2025-3-31 19:31:15 | 只看該作者
Instance-Aware Embedding for Point Cloud Instance Segmentation,rmative and critical to discriminate adjacent instances. Moreover, the proposed IAM is free from complicated and time-consuming operations, showing superiority in both accuracy and efficiency over the previous methods. To validate the effectiveness of our proposed method, comprehensive experiments h
60#
發(fā)表于 2025-4-1 01:01:10 | 只看該作者
Manifold Projection for Adversarial Defense on Face Recognition,tions of a given image by random sampling, then the nearest neighbor of the given image is selected as the final input of the face recognition model. As a preprocessing operation, our method is attack-agnostic and can adapt to a wide range of resolutions. The experimental results on LFW demonstrate
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