53 datasets found

Malaria Cell Images Dataset

The dataset used in the paper is the CLIC Compression Challenge Professional Dataset.

KITTI Stereo 2012 and 2015 dataset.

Neural distributed image compression using common information.

Deep image compression using decoder side information.

The Tecnick dataset is a dataset of 10 images, each with a size of 512x512 pixels.

The High-Fidelity Generative Image Compression dataset is a collection of images for image compression.

The Flickr30k dataset is a collection of images for image compression.

The Clic 2020 dataset is a collection of images for image compression.

The Kodak True Color Image Suite is a dataset of images used for evaluating image compression algorithms.

The dataset used in the paper is the CLIC professional-train dataset, which contains images that are too large to fit into the eight gigabytes memory of Nvidia Geforce GTX1070.

The dataset used in the paper is the CLIC2020 test dataset and the Kodak dataset.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used Kodak, Tecnick, and CLIC 2022 as their test sets.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used Flicker2W and LIU4K as their training sets.

The proposed system is composed of three neural networks (NN): an auto-regressive module (ARM) fψ, an upsampler fυ and a synthesis fθ.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors tested their model on various signal reconstruction tasks: 1D sinusoidal...

CLIC 2019 Professional dataset

Variable rate deep image compression with modulated autoencoder

The dataset used in the paper is the Kodak PhotoCD dataset, which contains twenty-four 768 × 512 images.

The dataset is a collection of 256x256 pixel images.