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Analysis of biases in automatic white balance datasets and methods
Annotated datasets for automatic white balance (AWB) are used for the evaluation and,
when necessary, the training, of AWB methods. Relying on such datasets requires …
when necessary, the training, of AWB methods. Relying on such datasets requires …
Planckian jitter: countering the color-crippling effects of color jitter on self-supervised training
S Zini, A Gomez-Villa, M Buzzelli, B Twardowski… - ar** different
augmentations of the same image to the same feature representation. The data …
augmentations of the same image to the same feature representation. The data …
Uncertainty estimation in color constancy
Computational color constancy is an under-determined problem. As such, a key objective is
to assign a level of uncertainty to the output illuminant estimations, which can significantly …
to assign a level of uncertainty to the output illuminant estimations, which can significantly …
A Convolutional Framework for Color Constancy
We introduce a convolutional framework (CF) for computational color constancy, building
upon the established low-level image feature-based framework, which utilized simple image …
upon the established low-level image feature-based framework, which utilized simple image …
COCOA: combining color constancy algorithms for images and videos
We present an efficient combination strategy for color constancy algorithms. We define a
compact neural network architecture to process and combine the illuminant estimations of …
compact neural network architecture to process and combine the illuminant estimations of …
[HTML][HTML] Angle-retaining chromaticity and color space: Invariants and properties
The angle-retaining color space (ARC) and the corresponding chromaticity diagram encode
information following a cylindrical color model. Their main property is that angular distances …
information following a cylindrical color model. Their main property is that angular distances …
On the evaluation of temporal and spatial stability of color constancy algorithms
Computational color constancy algorithms are commonly evaluated only through angular
error analysis on annotated datasets of static images. The widespread use of videos in …
error analysis on annotated datasets of static images. The widespread use of videos in …
Thinking Temporal Automatic White Balance: Datasets, Models and Benchmarks
Temporal Automatic White Balance (TAWB) corrects the color cast within each frame, while
ensuring consistent illumination across consecutive frames. Unlike conventional AWB, there …
ensuring consistent illumination across consecutive frames. Unlike conventional AWB, there …
Boosting Illuminant Estimation in Deep Color Constancy through Enhancing Brightness Robustness
M **s. Consequently, these methods exhibit poor generalization to …