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most citedA Human-in-the-Loop Label Error Detection Framework Applied to Arabic-Script HTR Datasets

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cs.CV20261 cited

A Human-in-the-Loop Label Error Detection Framework Applied to Arabic-Script HTR Datasets

Sana Al-azzawi, Elisa Barney, Marcus Liwicki

Despite recent advances, Handwritten Text Recognition (HTR) for Arabic-script languages still lags behind Latin-script HTR. Part of the problem is dataset quality. To help closing…

cs.CV2026

Understanding Cross-Language Transfer Improvements in Low-Resource HTR: The Role of Sequence Modeling

Sana Al-azzawi, Chang Liu, Nudrat Habib +2

Handwritten Text Recognition (HTR) for Arabic-script languages benefits from cross-language joint training under low-resource conditions, particularly when using CRNN-based models…

cs.CV2024

LCM: Log Conformal Maps for Robust Representation Learning to Mitigate Perspective Distortion

Meenakshi Subhash Chippa, Prakash Chandra Chhipa, Kanjar De +2

Perspective distortion (PD) leads to substantial alterations in the shape, size, orientation, angles, and spatial relationships of visual elements in images. Accurately determining…

cs.CV2024

Open-Vocabulary Object Detectors: Robustness Challenges under Distribution Shifts

Prakash Chandra Chhipa, Kanjar De, Meenakshi Subhash Chippa +2

The challenge of Out-Of-Distribution (OOD) robustness remains a critical hurdle towards deploying deep vision models. Vision-Language Models (VLMs) have recently achieved groundbre…

cs.CV2024

Giving each task what it needs -- leveraging structured sparsity for tailored multi-task learning

Richa Upadhyay, Ronald Phlypo, Rajkumar Saini +1

In the Multi-task Learning (MTL) framework, every task demands distinct feature representations, ranging from low-level to high-level attributes. It is vital to address the specifi…

cs.CV2024

Semi-Supervised Object Detection: A Survey on Progress from CNN to Transformer

Tahira Shehzadi, Ifza, Didier Stricker +1

The impressive advancements in semi-supervised learning have driven researchers to explore its potential in object detection tasks within the field of computer vision. Semi-Supervi…