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20222024
most citedLearning Self-Supervised Representations for Label Efficient Cross-Domain Knowledge Transfer on Diabetic Retinopathy Fundus Images

2 citations · 4 across the 11 of their papers we have counts for

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cs.CV2024

DiffusionPen: Towards Controlling the Style of Handwritten Text Generation

Konstantina Nikolaidou, George Retsinas, Giorgos Sfikas +1

Handwritten Text Generation (HTG) conditioned on text and style is a challenging task due to the variability of inter-user characteristics and the unlimited combinations of charact…

cs.CV2024

Rethinking HTG Evaluation: Bridging Generation and Recognition

Konstantina Nikolaidou, George Retsinas, Giorgos Sfikas +1

The evaluation of generative models for natural image tasks has been extensively studied. Similar protocols and metrics are used in cases with unique particularities, such as Handw…

cs.CV2023

Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions?

Prakash Chandra Chhipa, Johan Rodahl Holmgren, Kanjar De +2

Self-supervised learning in computer vision aims to leverage the inherent structure and relationships within data to learn meaningful representations without explicit human annotat…

cs.CV2023

Deep Perceptual Similarity is Adaptable to Ambiguous Contexts

Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki

The concept of image similarity is ambiguous, and images can be similar in one context and not in another. This ambiguity motivates the creation of metrics for specific contexts. T…

cs.CV20231 cited

Towards End-to-End Semi-Supervised Table Detection with Deformable Transformer

Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker +2

Table detection is the task of classifying and localizing table objects within document images. With the recent development in deep learning methods, we observe remarkable success…

cs.CV2023

Robust and Fast Vehicle Detection using Augmented Confidence Map

Hamam Mokayed, Palaiahnakote Shivakumara, Lama Alkhaled +4

Vehicle detection in real-time scenarios is challenging because of the time constraints and the presence of multiple types of vehicles with different speeds, shapes, structures, et…