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pro vyhledávání: '"Chen, Peter C. Y."'
Over the past few years, self-supervised monocular depth estimation that does not depend on ground-truth during the training phase has received widespread attention. Most efforts focus on designing different types of network architectures and loss fu
Externí odkaz:
http://arxiv.org/abs/2311.07198
Over the past few years, monocular depth estimation and completion have been paid more and more attention from the computer vision community because of their widespread applications. In this paper, we introduce novel physics (geometry)-driven deep le
Externí odkaz:
http://arxiv.org/abs/2311.07166
Image keypoints and descriptors play a crucial role in many visual measurement tasks. In recent years, deep neural networks have been widely used to improve the performance of keypoint and descriptor extraction. However, the conventional convolution
Externí odkaz:
http://arxiv.org/abs/2304.03608
Autor:
Chen, Peter C. Y.
We consider a class of reinforcement-learning systems in which the agent follows a behavior policy to explore a discrete state-action space to find an optimal policy while adhering to some restriction on its behavior. Such restriction may prevent the
Externí odkaz:
http://arxiv.org/abs/2304.03104
Deep stereo matching has made significant progress in recent years. However, state-of-the-art methods are based on expensive 4D cost volume, which limits their use in real-world applications. To address this issue, 3D correlation maps and iterative d
Externí odkaz:
http://arxiv.org/abs/2112.15355
Existing methods detect the keypoints in a non-differentiable way, therefore they can not directly optimize the position of keypoints through back-propagation. To address this issue, we present a partially differentiable keypoint detection module, wh
Externí odkaz:
http://arxiv.org/abs/2112.02906
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence; December 2024, Vol. 46 Issue: 12 p8883-8899, 17p
This paper concerns the forward kinematics and tension distribution of sinking winches mechanism, which is a type of four-cable-driven partly constrained parallel robot. Conventional studies on forward kinematics of cable-driven parallel robot assume
Externí odkaz:
http://arxiv.org/abs/1011.2269
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