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相关概念视频

Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

644
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
644
Color Vision01:24

Color Vision

571
Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
571
Gestalt Principles of Perception01:21

Gestalt Principles of Perception

299
Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...
299
Visual System01:26

Visual System

580
Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
580
Vision01:24

Vision

53.2K
Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
53.2K

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Creating Objects and Object Categories for Studying Perception and Perceptual Learning
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基于梯度的实例特定的视觉解释对象规范和对象歧视.

Chenyang Zhao, Janet H Hsiao, Antoni B Chan

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    此摘要是机器生成的。

    梯度加权的对象检测器激活地图 (ODAM) 为对象检测模型提供特定实例的视觉解释. 这种技术通过突出每个预测有影响力的地区来增强可解释性和信任性,在有效性和效率方面优于先前的方法.

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    科学领域:

    • 计算机视觉 计算机视觉
    • 人工智能的人工智能
    • 机器学习 机器学习

    背景情况:

    • 解释对象检测器预测对于理解模型行为至关重要.
    • 像类激活地图 (CAM) 这样的现有方法提供了类特定的,而不是实例特定的解释.
    • 有需要的技术,提供详细的,特定区域的洞察物体检测决策.

    研究的目的:

    • 引入梯度加权物体探测器激活地图 (ODAM),这是对物体探测器的一种新的视觉解释技术.
    • 为了证明ODAM在各种对象检测架构 (一阶段,两阶段,基于变压器) 的适用性.
    • 评估ODAM在对象规范和区分任务中的有效性及其对用户信任的影响.

    主要方法:

    • 利用探测器目标的梯度流入中间特征图,生成热图.
    • 将ODAM应用于各种物体检测模型,包括不同的骨干和头部.
    • 进行实验以分析视觉解释,测量与人眼凝视的一致性,并评估用户的信任.

    主要成果:

    • ODAM生成特定实例的热图,提供比特定类的方法更细致的解释.
    • 该技术是多功能,适用于各种对象检测架构.
    • 与最先进的解释方法相比,ODAM显示出更高的有效性和效率.
    • 在ODAM-KD和ODAM-NMS应用中,分别在知识蒸和非最大抑制方面显示出前景.

    结论:

    • 通过提供特定实例的视觉解释,ODAM显著提高了对象检测器的可解释性.
    • 该方法在质量和计算效率方面改进了现有技术.
    • ODAM与人类感知保持一致并培养用户信任的能力为可靠的AI系统开辟了新的途径.