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cs.CV2024
Re-assembling the past: The RePAIR dataset and benchmark for real world 2D and 3D puzzle solving
Theodore Tsesmelis, Luca Palmieri, Marina Khoroshiltseva +20
This paper proposes the RePAIR dataset that represents a challenging benchmark to test modern computational and data driven methods for puzzle-solving and reassembly tasks. Our dat…
cs.CV2024
Boosting CNN-based Handwriting Recognition Systems with Learnable Relaxation Labeling
Sara Ferro, Alessandro Torcinovich, Arianna Traviglia +1
The primary challenge for handwriting recognition systems lies in managing long-range contextual dependencies, an issue that traditional models often struggle with. To mitigate it,…