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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.

Overview Structured Data Issues Contributors

Is a

Parent Industry

Computer Vision

Going Deeper with Convolutions

Child Industry

Very Deep Convolutional Networks for Large-Scale Image Recognition

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Densely Connected Convolutional Networks

CSPNet: A New Backbone that can Enhance Learning Capability of CNN

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Rethinking the Inception Architecture for Computer Vision

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Dynamic Routing Between Capsules

Squeeze-and-Excitation Networks

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