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20232026
most citedDiving into the Depths of Spotting Text in Multi-Domain Noisy Scenes

2 citations · 2 across the 13 of their papers we have counts for

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5 papers · 1 filter

cs.CV2024

Decorrelation-based Self-Supervised Visual Representation Learning for Writer Identification

Arkadip Maitra, Shree Mitra, Siladittya Manna +2

Self-supervised learning has developed rapidly over the last decade and has been applied in many areas of computer vision. Decorrelation-based self-supervised pretraining has shown…

cs.CV2024

Correlation Weighted Prototype-based Self-Supervised One-Shot Segmentation of Medical Images

Siladittya Manna, Saumik Bhattacharya, Umapada Pal

Medical image segmentation is one of the domains where sufficient annotated data is not available. This necessitates the application of low-data frameworks like few-shot learning.…

cs.CV2024

FastTextSpotter: A High-Efficiency Transformer for Multilingual Scene Text Spotting

Alloy Das, Sanket Biswas, Umapada Pal +2

The proliferation of scene text in both structured and unstructured environments presents significant challenges in optical character recognition (OCR), necessitating more efficien…

cs.CV2024

CraftSVG: Multi-Object Text-to-SVG Synthesis via Layout Guided Diffusion

Ayan Banerjee, Nityanand Mathur, Josep Llados +2

Generating VectorArt from text prompts is a challenging vision task, requiring diverse yet realistic depictions of the seen as well as unseen entities. However, existing research h…

cs.CV2024

GraphKD: Exploring Knowledge Distillation Towards Document Object Detection with Structured Graph Creation

Ayan Banerjee, Sanket Biswas, Josep Lladós +1

Object detection in documents is a key step to automate the structural elements identification process in a digital or scanned document through understanding the hierarchical struc…