RGB-D image classification based on convolutional neural networks have been extensively explored recently. However, they suffer from problems of effective representation of RGB-D image, intra-class ...

Samsung's RGB-backlit TV is starting a production trial It's a larger size than Samsung originally discussed, at 115 inches RGB backlighting means better color and dimming zones ...

Process shift of multimode process involving data distribution and dynamic relation makes traditional transfer learning methods be intractable and even result in negative transfer. To tackle this ...

Only a few professional monitors can display the full Adobe RGB color space, and if you're publishing online you should assume most people have basic sRGB displays. (Image credit: Eizo) While Adobe ...

A deep learning project that colorizes black and white images using a U-Net autoencoder architecture. This project achieves excellent performance with MSE: 0.006378 and SSIM: 0.917006. This project ...

HoloPart sometimes produces over-completed models. If part completion is enabled, some parts MAY NOT BE TEXTURED in trellis texture generation because of occlusion, to texture that part better, you ...