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

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樓主: 馬用
11#
發(fā)表于 2025-3-23 11:40:09 | 只看該作者
Semi-convolutional Operators for Instance SegmentationWe demonstrate that these operators can also be used to improve approaches such as Mask RCNN, demonstrating better segmentation of complex biological shapes and PASCAL VOC categories than achievable by Mask RCNN alone.
12#
發(fā)表于 2025-3-23 13:56:39 | 只看該作者
13#
發(fā)表于 2025-3-23 21:41:48 | 只看該作者
14#
發(fā)表于 2025-3-23 23:36:21 | 只看該作者
15#
發(fā)表于 2025-3-24 04:05:49 | 只看該作者
16#
發(fā)表于 2025-3-24 08:52:35 | 只看該作者
Self-Calibrating Isometric Non-Rigid Structure-from-Motiones and the whole image set. Once this is done, the local shape is easily recovered. Our experiments show that its performance is very close to the state-of-the-art methods that use a calibrated camera.
17#
發(fā)表于 2025-3-24 12:28:13 | 只看該作者
18#
發(fā)表于 2025-3-24 15:42:07 | 只看該作者
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..
19#
發(fā)表于 2025-3-24 23:05:43 | 只看該作者
20#
發(fā)表于 2025-3-25 00:01:33 | 只看該作者
Meeting Point of the East and the Westect comparison under the same search space shows that our method is up to 5 times more efficient than the RL method of Zoph et al. (2018) in terms of number of models evaluated, and 8 times faster in terms of total compute. The structures we discover in this way achieve state of the art classification accuracies on CIFAR-10 and ImageNet.
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