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Found 9 papers, 6 papers with code
Drawing the Line: Deep Segmentation for Extracting Art from Ancient Etruscan Mirrors
Etruscan mirrors constitute a significant category within Etruscan art and, therefore, undergo systematic examinations to obtain insights into ancient times.
Enhancing Historical Image Retrieval with Compositional Cues
In analyzing vast amounts of digitally stored historical image data, existing content-based retrieval methods often overlook significant non-semantic information, limiting their effectiveness for flexible exploration across varied themes.
ECSIC: Epipolar Cross Attention for Stereo Image Compression
Our proposed method compresses the left and right images in a joint manner by exploiting the mutual information between the images of the stereo image pair using a novel stereo cross attention (SCA) module and two stereo context modules.
Feature Mixing for Writer Retrieval and Identification on Papyri Fragments
This paper proposes a deep-learning-based approach to writer retrieval and identification for papyri, with a focus on identifying fragments associated with a specific writer and those corresponding to the same image.
Towards Writer Retrieval for Historical Datasets
Our approach is evaluated on two historical datasets (Historical-WI and HisIR19).
SASIC: Stereo Image Compression With Latent Shifts and Stereo Attention
We propose a learned method for stereo image compression that leverages the similarity of the left and right images in a stereo pair due to overlapping fields of view.
Subjective Assessments of Legibility in Ancient Manuscript Images -- The SALAMI Dataset
This dataset consists of 250 images of 50 manuscript regions with corresponding spatial maps of mean legibility and uncertainty, which are based on a study conducted with 20 experts of philology and paleography.
CVL-DataBase: An Off-Line Database for Writer Retrieval, Writer Identification and Word Spotting
In this paper a public database for writer retrieval, writer identification and word spotting is presented.
Digit Recognition in Handwritten Weather Records
This paper addresses the automatic recognition of handwritten temperature values in weather records.
