aniketdas

Pytorch implementation of HTR on IAM dataset (word or line level + CTC loss)

aniketPhdThesis

Multimodal Semi-Supervised Learning for Text Recognition (SemiMTR)

Deformation-invariant line-level Handwritten Text Recognition (HTR) using a convolutional-only architecture.

Code implementation for our DAS, 2020 paper titled "Fused Text Recogniser and Deep Embeddings Improve Word Recognition and Retrieval"

Visual Re-ranking with Natural Language Understanding for Text Spotting. ACCV18

Code implementation for our ICPR, 2020 paper titled "Improving Word Recognition using Multiple Hypotheses and Deep Embeddings"

Basic HTR concepts/modules to boost performance

Code for my master thesis

Attention-based sequence-to-sequence model for handwritten word recognition

Implementation of the paper "MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition" by Bhunia et al. (2021).

Codebase for training various HTR models

Implementation of the paper "Full Page Handwriting Recognition via Image to Sequence Extraction" by Singh et al. (2021).

Semantic Relatedness Based Re-ranker for Text Spotting. EMNLP 2019

On-the-fly Deformations for Keyword Spotting in Documents

Imitating someone's handwriting by converting it to the temporal domain and back again

handwriting recognition example using a seq2seq architecture

Create handwritten word embeddings from a text recognition Seq2Seq system.