【2h】

Potential downside of high initial visual acuity

机译:高初始视敏度的潜在缺点

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摘要

Children who are treated for congenital cataracts later exhibit impairments in configural face analysis. This has been explained in terms of a critical period for the acquisition of normal face processing. Here, we consider a more parsimonious account according to which deficits in configural analysis result from the abnormally high initial retinal acuity that children treated for cataracts experience, relative to typical newborns. According to this proposal, the initial period of low retinal acuity characteristic of normal visual development induces extended spatial processing in the cortex that is important for configural face judgments. As a computational test of this hypothesis, we examined the effects of training with high-resolution or blurred images, and staged combinations, on the receptive fields and performance of a convolutional neural network. The results show that commencing training with blurred images creates receptive fields that integrate information across larger image areas and leads to improved performance and better generalization across a range of resolutions. These findings offer an explanation for the observed face recognition impairments after late treatment of congenital blindness, suggest an adaptive function for the acuity trajectory in normal development, and provide a scheme for improving the performance of computational face recognition systems.
机译:后来接受先天性白内障治疗的儿童在面部表情分析中表现出障碍。这是根据获取正常人脸处理的关键时期来解释的。在这里,我们考虑一个更简化的说明,根据该说明,相对于典型的新生儿,接受白内障治疗的儿童所经历的异常高的初始视网膜敏锐度导致形态分析的不足。根据该建议,正常视力发育的低视网膜敏锐度的初始阶段会诱导皮层中扩展的空间处理,这对于结构化的面部判断非常重要。作为对该假设的计算检验,我们检查了高分辨率或模糊图像训练以及分阶段组合对卷积神经网络的接收场和性能的影响。结果表明,开始使用模糊图像进行训练会创建可接收区域,这些区域会在较大图像区域内整合信息,并会提高性能并在各种分辨率范围内实现更好的泛化。这些发现为先天性盲症的后期治疗后观察到的面部识别障碍提供了解释,为正常发育中的视力轨迹提供了一种自适应功能,并提供了一种改进计算面部识别系统性能的方案。

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