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Oct, 2023
学习使用部分输入识别被遮挡和小物体
Learning to recognize occluded and small objects with partial inputs
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Hasib Zunair, A. Ben Hamza
TL;DR
使用Masked Supervised Learning (MSL)方法学习基于上下文的多标签图像识别,通过部分输入和标签的一致性模型来增强识别小目标和被遮挡目标的性能。
Abstract
recognizing multiple objects
in an image is challenging due to
occlusions
, and becomes even more so when the objects are small. While promising, existing multi-label image recognition models do not explicitly lea
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