Semantic segmentation (SS) and height estimation (HE) are two critical tasks in remote sensing scene understanding that are highly correlated with each other. To address both the tasks simultaneously, ...

SOUTH BEND, IN (WSBT) — Concerns about the summer slide or summer learning loss go back decades. Teachers say they notice a difference when the school year begins. Two teachers in St. Joseph ...

Contrastive learning is a powerful learning paradigm that can fully exploit cheap, self-supervised learning signals in the data. Crucial to its success is the choice of the positive and negative pairs ...

This project uses a Siamese Neural Network with shared weights to compare image pairs. It’s trained with a contrastive loss function to learn feature embeddings that bring similar images closer and ...

SketchZoo is a project that utilizes Siamese neural networks for efficient animal image retrieval. With the power of contrastive and triplet loss functions, SketchZoo accurately matches hand-drawn ...

Competitive endogenous RNA (ceRNA) regulatory networks (CENA) have advanced our understanding of noncoding RNAs’ roles in complex diseases, providing a theoretical basis for disease mechanisms.