Oct 15, 2020 · In this paper, we consider the problem of fine-grained image retrieval in an incremental setting, when new categories are added over time.
Abstract. In this paper, we consider the problem of fine-grained image retrieval in an incre- mental setting, when new categories are added over time.
Oct 15, 2020 · In this paper, we consider the problem of fine-grained image retrieval in an incre- mental setting, when new categories are added over time. On ...
In this paper, we consider the problem of fine-grained image retrieval in an incremental setting, when new categories are added over time. On the one hand, ...
Oct 15, 2020 · An incremental learning method is proposed to mitigate retrieval performance degradation caused by the forgetting issue and a regularization ...
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On the Exploration of Incremental Learning for Fine-grained Image Retrieval · 1 code implementation • 15 Oct 2020 • Wei Chen, Yu Liu, Weiping Wang, Tinne ...
This paper considers the problem of fine-grained image recognition with a growing vocabulary. Since in many real world applications we often have to add a ...
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We analyze the experimental results of incremental learning for fine-grained images with images of Thai archaeological site architecture from world heritage ...
Chen et al., “On the exploration of incremental learning for fine-grained image retrieval,” in Proc. Brit. Mach. Vis. Conf., 2020, pp. 1–8. Google Scholar.
In this work, we focus on the change in representations of observed data that arises when previously unobserved classes appear in the incoming data stream, and ...