Results 21 to 30 of about 1,846,953 (347)
Stereo Matching Algorithm Based on Global Error Energy Function [PDF]
Jisuanji gongcheng, 2017 In order to solve the problem of large amounts of computation in the global stereo matching algorithm,this paper proposes an improved algorithm by introducing global error energy function.It considers global error energy function as the cost of stereo ...
WANG Xinyan,PAN Wei,WANG Yuelian,LIU Xinyue
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, 2023 We propose Functional Flow Matching (FFM), a function-space generative model that generalizes the recently-introduced Flow Matching model to operate in infinite-dimensional spaces. Our approach works by first defining a path of probability measures that interpolates between a fixed Gaussian measure and the data distribution, followed by learning a ...
Kerrigan, Gavin +2 more
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Learning Reward Function with Matching Network for Mapless Navigation
Sensors, 2020 Deep reinforcement learning (DRL) has been successfully applied in mapless navigation. An important issue in DRL is to design a reward function for evaluating actions of agents.
Qichen Zhang +4 more
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Frontiers in Applied Mathematics and Statistics, 2023 A Gaussian process (GP) covariance function is proposed as a matching tool for causal inference within a full Bayesian framework under relatively weaker causal assumptions. We demonstrate that matching can be accomplished by utilizing GP prior covariance
Bin Huang +4 more
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Measuring Inefficiency of the Czech Labour Market
Review of Economic Perspectives, 2015 This paper aims to quantify the performance of the Czech regional labour markets and to reveal the most influential economic factors standing behind its dynamics in the last fifteen years. Investigated labour markets are described using matching function
Němec Daniel
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Hypergraph Matching With an Entropy Barrier Function
IEEE Access, 2019 Graph matching problem has been widely used in many fields. Due to the discrete property of graph matching problem, the continuous relaxation will result in a bad influence on the solution.
Hu Zhu +4 more
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Nihon Kikai Gakkai ronbunshu, 2023 The study proposes a supporting method in the upstream design process, utilizing the Top Trading Cycles (TTC) algorithm in matching theory. A decision in upstream design is important because any decision in this process strongly affects the final product’
Nariaki NISHINO +6 more
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Stereo Matching Network Based on Disparity Optimization [PDF]
Jisuanji gongcheng, 2022 Existing stereo matching algorithms usually use deep convolutional networks to extract features, and can improve the accuracy of foreground object detection, but display poor matching results for small objects and boundary areas in the background.In ...
LIU Jianguo, JI Guo, YAN Fuwu, SHEN Jianhong, SUN Yunfei
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Applied Sciences, 2020 Dense stereo matching has been widely used in photogrammetry and computer vision applications. Even though it has a long research history, dense stereo matching is still challenging for occluded, textureless and discontinuous regions. This paper proposed
Hua Liu +3 more
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Siamese Instance Search for Tracking [PDF]
, 2016 In this paper we present a tracker, which is radically different from state-of-the-art trackers: we apply no model updating, no occlusion detection, no combination of trackers, no geometric matching, and still deliver state-of-the-art tracking ...
Gavves, Efstratios +2 more
core +2 more sources