COW 发表于 2025-3-26 21:11:20

Conference proceedings 2018The papers are organized in topical sections on learning for vision; computational photography; human analysis; human sensing; stereo and reconstruction; optimization; matching and recognition; video attention; and poster sessions..

chemical-peel 发表于 2025-3-27 02:13:26

0302-9743 missions. The papers are organized in topical sections on learning for vision; computational photography; human analysis; human sensing; stereo and reconstruction; optimization; matching and recognition; video attention; and poster sessions..978-3-030-01248-9978-3-030-01249-6Series ISSN 0302-9743 Series E-ISSN 1611-3349

Spinous-Process 发表于 2025-3-27 08:47:57

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鸽子 发表于 2025-3-27 10:24:18

https://doi.org/10.1007/978-3-030-56623-4uation system that is open for continuous submission of new results. The evaluation shows that methods based on point-pair features currently perform best, outperforming template matching methods, learning-based methods and methods based on 3D local features. The project website is available at ..

共同确定为确 发表于 2025-3-27 15:12:26

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NAVEN 发表于 2025-3-27 18:19:08

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definition 发表于 2025-3-27 22:08:14

BOP: Benchmark for 6D Object Pose Estimationuation system that is open for continuous submission of new results. The evaluation shows that methods based on point-pair features currently perform best, outperforming template matching methods, learning-based methods and methods based on 3D local features. The project website is available at ..

Parallel 发表于 2025-3-28 05:08:31

Recovering 3D Planes from a Single Image via Convolutional Neural Networksataset for accurate planar and non-planar classification. Experiment results demonstrate that our method significantly outperforms existing methods, both qualitatively and quantitatively. The recovered planes could potentially benefit many important visual tasks such as vision-based navigation and human-robot interaction.

不发音 发表于 2025-3-28 09:14:52

ExFuse: Enhancing Feature Fusion for Semantic Segmentationevel and high-level features thus significantly improve the segmentation quality by 4.0% in total. Furthermore, we evaluate our approach on the challenging PASCAL VOC 2012 segmentation benchmark and achieve 87.9% mean IoU, which outperforms the previous state-of-the-art results.

费解 发表于 2025-3-28 13:12:06

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查看完整版本: Titlebook: Computer Vision – ECCV 2018; 15th European Confer Vittorio Ferrari,Martial Hebert,Yair Weiss Conference proceedings 2018 Springer Nature Sw