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5 days ago · Our model incorporates transformer-based document retrieval and ensemble methods at the model level, achieving an Exact Match score of 82.02% and 92.55% in HW- ...
Missing: character | Show results with:character
2 days ago · This paper proposes an innovative approach to enhance OCR classification under challenging conditions by leveraging an ensemble model that combines an Attention ...
4 days ago · Incomplete handwritten Dongba character often appears in heritage documents and its recognition is significant for heritage and philology.
2 days ago · The project includes preprocessing handwritten digits using Data Equalization for contrast and histogram adjustment. The speaker, Vijay Krishna, shares examples ...
Missing: character | Show results with:character
4 days ago · This research focuses on creating a deep-learning model for identifying multi-digit numbers, which addresses the critical demand for accuracy in real-world ...
6 days ago · The two main solutions for communication between sign language users and the rest of the population are either through handwriting or an interpreter, which can ...
4 days ago · The performances of top ML models for computer vision are comparable to human eyes classifying hand-written digits and natural images [17].
6 days ago · DCNN varieties for classification, segmentation, or localization can be used to detect cracks in the input image. This paper proposes transfer learning-based DL ...
6 days ago · Dropout regularization is a technique used in neural networks to prevent overfitting, which occurs when a model learns the noise in the training data rather ...
Missing: character | Show results with:character