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Oct 10, 2023 · We present a simple yet effective method that uses high-quality queries only during training to distill better feature representations for deep-learning-based ...
Oct 10, 2023 · 1: Visual Place Recognition with Low-Quality Query. Images: Leveraging our proposed distillation neural network and specific loss configurations ...
Distillation Improves Visual Place Recognition for Low-Quality Queries. Anbang Yang Yao Wang John-Ross Rizzo Chen Feng. New York University, Brooklyn, NY ...
Nov 25, 2023 · Visual Place Recognition (VPR) is important for ensuring the accuracy and reliability of re-localization in a Visual Simultaneous ...
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Distillation Improves Visual Place Recognition for Low-Quality Queries. no code yet • 10 Oct 2023. The shift to online computing for real-time visual ...
Distillation Improves Visual Place Recognition for Low-Quality Queries · Anbang YangYao WangJohn-Ross RizzoChen Feng. Computer Science. ArXiv. 2023. TLDR. This ...
... Improving model accuracy can be regarded as another objective in the TS model area. In [1], [10], [11], [9] and [6] the principal objectives are improving ...
Visual place recognition (VPR) is usually considered as a specific image retrieval problem. Limited by existing training frameworks, most deep ...
We use the following tools for the program: PaLI-X [10] for simple visual queries, PaLI-X. 9592. Page 4. detection (distilled from OWLv2 [47]) for object ...
In last few years, a variety of knowledge distillation methods have been widely used for model compression in different visual recognition applications.