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Found 8 papers, 3 papers with code
An empirical study of CTC based models for OCR of Indian languages
Recognition of text on word or line images, without the need for sub-word segmentation has become the mainstream of research and development of text recognition for Indian languages.
Classification of histopathology images using ConvNets to detect Lupus Nephritis
Systemic lupus erythematosus (SLE) is an autoimmune disease in which the immune system of the patient starts attacking healthy tissues of the body.
Asking questions on handwritten document collections
This work addresses the problem of Question Answering (QA) on handwritten document collections.
Benchmarking Scene Text Recognition in Devanagari, Telugu and Malayalam
And the performance is bench-marked on a new IIIT-ILST dataset comprising of hundreds of real scene images containing text in the above mentioned scripts.
MMBERT: Multimodal BERT Pretraining for Improved Medical VQA
Images in the medical domain are fundamentally different from the general domain images.
Exploring Genetic-histologic Relationships in Breast Cancer
The advent of digital pathology presents opportunities for computer vision for fast, accurate, and objective solutions for histopathological images and aid in knowledge discovery.
Adapting OCR with limited supervision
We discuss details on how these popular approaches in Machine Learning can be adapted to the text recognition problem of our interest.
Fine-Grain Annotation of Cricket Videos
Action recognition is challenging even for specific categories of videos, such as sports, that contain only a small set of actions.
