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Therefore, this paper focuses on person search, which aims to solve person detection and person re-identification (re-id) jointly. The common practice is to ...
Abstract—The specific person search is the foundation of a wide range of applications in intelligent security and surveillance systems.
The proposed Background and Foreground Contrastive Loss (BFCL) is proposed to strengthen the learning of distinguishing similar background and foreground by ...
The aim of the research lesson was to learn how to describe a person systematically. Design/methodology/approach Two LS cycles in two different classes were ...
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Jun 27, 2023 · In this paper, we propose a contrastive learning strategy of foreground and background representations for semi-supervised 3D medical image segmentation (FBA- ...
Missing: Person | Show results with:Person
Abstract. We introduce a new method for diverse foreground genera- tion with explicit control over various factors. Existing image inpainting.
Oct 25, 2019 · To this end, we propose an end-to-end foreground-aware network to discriminate foreground from background by learning a soft mask for person re- ...
Abstract. This paper proposes a knowledge distillation method for foreground object search (FoS). Given a background and a rectangle.
This paper proposes unsupervised deep learning of foreground objects on the basis of the prior knowledge about spatio-temporal sparseness and low-rankness of ...