… adapted it to the problem of color constancy in videos (T.CNN… the problem of temporal
color constancy, relaxing the … (a novel recurrent deep net) for temporal color constancy task…

… Compared to traditional single-frame color constancy methods, … Color Constancy that
combines classical color constancy algorithms, convolutional neural networks (CNN), and recurrent …

… The above computational color constancy methods estimate the illumination color from a …
as burst color constancy or multi-frame color constancy. They proposed a recurrent network …

… The above computational color constancy methods estimate the illumination color from a …
as temporal color constancy or multi-frame color constancy. They proposed a recurrent network …

… is (1) to teach DNNs to identify color in settings that require color constancy, (2) to assess …
studies for color constancy, and (3) to test whether human-like color representations emerge …

… color constancy algorithms when applied in a single-frame manner. Additionally, this thesis
also provides a temporal color constancy … , and LSTM to capture spatially recurrent features. …

… We improve the previous stateof-the-art deep color constancy model without increasing model
… scene content features irrelevant for color constancy, making our model more robust and …

… In this paper, we frame the problem of color constancy using a recurrent neural network
model named, nonlinear line attractor network, that learns by observing how the center-surround …

… recurrent color constancy network that exploits AlexNet features and a Long Short Term
Memory (LSTM) recurrent … a 2D LSTM that provides more effective spatial recurrent information. …

… color constancy benchmarking website [1]. Among all rendered images, we find a number of
these not in intrinsic color … of our RCC-Net in temporal color constancy task, we collect some …