Papers Writer Retrieval
“Writer Retrieval” 태그가 달린 논문 15편 · 필터 해제
Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach
Currently, the prevalence of online handwriting has spurred a critical need for effective retrieval systems to accurately search relevant handwriting instances from specific writers, known as online writer retrieval. Des…
Representation LearningRetrievalWriter RetrievalSelf-Supervised Vision Transformers for Writer Retrieval
While methods based on Vision Transformers (ViT) have achieved state-of-the-art performance in many domains, they have not yet been applied successfully in the domain of writer retrieval. The field is dominated by method…
RetrievalWriter RetrievalKaiRacters: Character-level-based Writer Retrieval for Greek Papyri
This paper presents a character-based approach for enhancing writer retrieval performance in the context of Greek papyri. Our contribution lies in introducing character-level annotations for frequently used characters, i…
RetrievalWriter RetrievalSAGHOG: Self-Supervised Autoencoder for Generating HOG Features for Writer Retrieval
This paper introduces SAGHOG, a self-supervised pretraining strategy for writer retrieval using HOG features of the binarized input image. Our preprocessing involves the application of the Segment Anything technique to e…
RetrievalWriter RetrievalFeature 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. We …
BinarizationRetrievalWriter RetrievalTowards Writer Retrieval for Historical Datasets
This paper presents an unsupervised approach for writer retrieval based on clustering SIFT descriptors detected at keypoint locations resulting in pseudo-cluster labels. With those cluster labels, a residual network foll…
Graph SimilarityRerankingRetrievalWriter RetrievalEvaluating Synthetic Pre-Training for Handwriting Processing Tasks
In this work, we explore massive pre-training on synthetic word images for enhancing the performance on four benchmark downstream handwriting analysis tasks. To this end, we build a large synthetic dataset of word images…
RetrievalWriter RetrievalWordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models
Text-to-Image synthesis is the task of generating an image according to a specific text description. Generative Adversarial Networks have been considered the standard method for image synthesis virtually since their intr…
Data AugmentationDenoisingHandwriting generationHTR+4Writer Retrieval and Writer Identification in Greek Papyri
The analysis of digitized historical manuscripts is typically addressed by paleographic experts. Writer identification refers to the classification of known writers while writer retrieval seeks to find the writer by mean…
BinarizationRetrievalWriter RetrievalWriter Identification and Writer Retrieval Based on NetVLAD with Re-ranking
This paper addresses writer identification and writer retrieval which is considered as a challenging problem in the document analysis and recognition field. In this work, a novel pipeline is proposed for the problem at h…
Re-RankingRetrievalTripletWriter RetrievalRe-ranking for Writer Identification and Writer Retrieval
Automatic writer identification is a common problem in document analysis. State-of-the-art methods typically focus on the feature extraction step with traditional or deep-learning-based techniques. In retrieval problems,…
Re-RankingRetrievalWriter RetrievalICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents
This competition investigates the performance of large-scale retrieval of historical document images based on writing style. Based on large image data sets provided by cultural heritage institutions and digital libraries…
Image RetrievalRetrievalWriter RetrievalEncoding CNN Activations for Writer Recognition
The encoding of local features is an essential part for writer identification and writer retrieval. While CNN activations have already been used as local features in related works, the encoding of these features has attr…
RetrievalWriter RetrievalUnsupervised Feature Learning for Writer Identification and Writer Retrieval
Deep Convolutional Neural Networks (CNN) have shown great success in supervised classification tasks such as character classification or dating. Deep learning methods typically need a lot of annotated training data, whic…
ClassificationClusteringGeneral ClassificationRetrieval+1CVL-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. The CVL-Database consists of 7 different handwritten texts (1 German and 6 English Texts) and 311 different writ…
RetrievalWriter Retrieval