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Found 7 papers, 3 papers with code
Enhancement of Bengali OCR by Specialized Models and Advanced Techniques for Diverse Document Types
It incorporates advanced image and signature detection for accurate extraction.
LumiNet: The Bright Side of Perceptual Knowledge Distillation
In knowledge distillation literature, feature-based methods have dominated due to their ability to effectively tap into extensive teacher models.
Ranked #1 on
Classification
on CIFAR-100
Bangla-Wave: Improving Bangla Automatic Speech Recognition Utilizing N-gram Language Models
Although over 300M around the world speak Bangla, scant work has been done in improving Bangla voice-to-text transcription due to Bangla being a low-resource language.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
LILA-BOTI : Leveraging Isolated Letter Accumulations By Ordering Teacher Insights for Bangla Handwriting Recognition
Word-level handwritten optical character recognition (OCR) remains a challenge for morphologically rich languages like Bangla.
Rethinking Task-Incremental Learning Baselines
A common goal of task-incremental methods is to design a network that can operate on minimal size, maintaining decent performance.
A Large Multi-Target Dataset of Common Bengali Handwritten Graphemes
We propose a labeling scheme based on graphemes (linguistic segments of word formation) that makes segmentation in-side alpha-syllabary words linear and present the first dataset of Bengali handwritten graphemes that are commonly used in an everyday context.
AI Learns to Recognize Bengali Handwritten Digits: Bengali.AI Computer Vision Challenge 2018
Solving problems with Artificial intelligence in a competitive manner has long been absent in Bangladesh and Bengali-speaking community.
