Paper-Conference

Data Augmentation Techniques for Medical Image Segmentation - A Review
Segmentation of medical images is crucial for accu-rate diagnosis, treatment planning and intervention. However, the scarcity of data …
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Deep Learning Image-Based Plant Disease Classification - A Review
Effective classification of plant diseases is crucial for increasing agricultural productivity and ensuring global food se-curity. Deep …
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Superpixel Mixing: A Data Augmentation Technique For Robust Deep Visual Recognition Models
Data augmentation can mitigate overfitting problems in data exploration without increasing the size of the model. Existing cutmix-based …
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Enhancing mobile robot surveillance in restricted areas: an optimal visual perception methodology for preventive security
The recent advances in mobile robot surveillance have significantly enhanced supervision tasks. Unlike traditional CCTV systems, these …
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Multi-Level XAI-Driven MLOps Pipeline for the Adjustment of Fruit and Vegetable Classifiers
In this paper, we present a machine learning operations (MLOps) pipeline that exploits explainable artificial intelligence (XAI) to …
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Pixel-Level Quality Indicator for Image Data Annotation
The creation of image classification and segmentation Machine Learning products requires the annotation of different classes by experts …
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Unsupervised data labeling and incremental cross-domain training for enhanced hybrid eye gaze estimation
This paper aims to advance the fields of unsupervised data labeling and incremental cross-domain training techniques. We apply these …
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Unsupervised data labeling and incremental cross-domain training for enhanced hybrid eye gaze estimation
Self-supervised Vision Transformers for image-to-image labeling: a BiaPy solution to the LightMyCells Challenge
Fluorescence microscopy plays a crucial role in cellular analysis but is often hindered by phototoxicity and limited spectral channels. …
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Learning Gaze-aware Compositional GAN from Limited Annotations
Gaze-annotated facial data is crucial for training deep neural networks (DNNs) for gaze estimation. However, obtaining these data is …
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Analysis of Point Cloud Domain Gap Effects for 3D Object Detection Evaluation
The development of autonomous driving systems heavily relies on high-quality LiDAR data, which is essential for robust object detection …
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