Titlebook: Viewing and Imaging the Solar System; A Guide for Amateur Jane Clark Book 2015 Springer Science+Business Media New York 2015 Astronomical

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Jane Clarkwever, almost all of these studies only focus on discrete or continuous action space and there are few works having ever applied multi-agent deep reinforcement learning (MADRL) to discrete-continuous hybrid action space which is common in practice problems. In this paper, two novel approaches are pr

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Jane Clarkion information. Contextual information is a significant factor in the task of recognizing image action, which is inseparable from a predefined action class. And the existing research strategy does not ensure adequate use of contextual information. To address this issue, we propose a Contextual Enha

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Jane Clarkcrepancy. Existing methods mainly focus on bridging the relation between modalities by shared representation learning in the common embedding space. However, due to the outliers, these methods often struggle to build compact clustering subspaces. Besides, these methods also suffer from modality imba

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Jane Clarkowever, domain adaptation presents a significant challenge due to the impact of weather, lighting, and scene context on object detection models. To address this issue, we propose a new method that utilizes pseudo-labels. Our approach involves two modules: the Category-Adversarial-Adaptive (CAA) and

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