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Image Classification

Image Classification is a fundamental task that attempts to comprehend an entire image as a whole. The goal is to classify the image by assigning it to a specific label. Typically, Image Classification refers to images in which only one object appears and is analyzed.

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Parent Industry
Computer Vision
Computer Vision
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Going Deeper with Convolutions
Child Industry
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Very Deep Convolutional Networks for Large-Scale Image Recognition
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MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
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Densely Connected Convolutional Networks
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CSPNet: A New Backbone that can Enhance Learning Capability of CNN
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MobileNetV2: Inverted Residuals and Linear Bottlenecks
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Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
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Rethinking the Inception Architecture for Computer Vision
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An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
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Image Classification is a fundamental task that attempts to comprehend an entire image as a whole. The goal is to classify the image by assigning it to a specific label. Typically, Image Classification refers to images in which only one object appears and is analyzed. In contrast, object detection involves both classification and localization tasks, and is used to analyze more realistic cases in which multiple objects may exist in an image.

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