Showing results for CoLOR: Classification-Oriented Local Representation for Image Recognition.
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Jun 20, 2019 · The CoLR model is efficiently solved by Augmented Lagrange Multiplier (ALM) scheme based on a variable splitting strategy. Then, the performance ...
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What is classification for image recognition?
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Aug 3, 2015 · Our descriptor enriches local image representation with both color and contrast information. We verified experimentally that it can compensate ...
May 2, 2023 · Color spaces are like different languages that describe colors in an image. They provide various ways of representing and organizing color ...
Techniques for feature extraction and image classification (SIFT, ORB, and FAST) via OpenCV and we show object classification using pre-trained Deep Neural ...
Color constancy is our ability to perceive constant colors across varying illuminations. Here, we trained deep neural networks to be color constant and ...
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Abstract. Four novel color Local Binary Pattern (LBP) descriptors are presented in this chapter for scene image and image texture classification with ...
Feb 14, 2023 · Limited Representation of Color: BoF mainly uses grayscale images, and color information is not considered. Despite these limitations, BoF ...
Mar 19, 2016 · In this paper, we present a simple yet effective color image descriptor, completed local similarity pattern (CLSP), for color image recognition.
Emergent color categorization in a neural network trained for object ...
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Dec 13, 2022 · Our findings show that a CNN trained for object recognition develops a categorical representation of color at the level where objects are ...
Apr 22, 2022 · To form a more general and discriminative representation, we propose a multi-level hybrid model that learns and integrates the deep semantics ...
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