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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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樓主: Taylor
31#
發(fā)表于 2025-3-26 23:10:34 | 只看該作者
32#
發(fā)表于 2025-3-27 03:53:54 | 只看該作者
33#
發(fā)表于 2025-3-27 06:30:58 | 只看該作者
34#
發(fā)表于 2025-3-27 10:09:26 | 只看該作者
35#
發(fā)表于 2025-3-27 15:16:59 | 只看該作者
36#
發(fā)表于 2025-3-27 18:28:17 | 只看該作者
A Comprehensive Study of Weight Sharing in Graph Networks for 3D Human Pose Estimation,ree more variants can be derived by decoupling the self-connections with other edges. We conduct extensive ablation study on these weight sharing methods under controlled settings and obtain new conclusions that will benefit the community.
37#
發(fā)表于 2025-3-27 22:34:06 | 只看該作者
38#
發(fā)表于 2025-3-28 03:42:43 | 只看該作者
39#
發(fā)表于 2025-3-28 06:47:16 | 只看該作者
Linguistic Structure Guided Context Modeling for Referring Image Segmentation,-WG) which guides all the words to include valid multimodal context of the sentence while excluding disturbing ones through three steps over the multimodal feature, i.e., gathering, constrained propagation and distributing. Extensive experiments on four benchmarks demonstrate that our method outperforms all the previous state-of-the-arts.
40#
發(fā)表于 2025-3-28 10:31:43 | 只看該作者
Thanks for Nothing: Predicting Zero-Valued Activations with Lightweight Convolutional Neural Networting models. ZAPs are trained by mimicking hidden layer ouputs; thereby, enabling a parallel and label-free training. Furthermore, without retraining, each ZAP can be tuned to a different operating point trading accuracy for MAC reduction.
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