An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

In this tutorial, we explore the power of self-supervised learning using the Lightly AI framework. We begin by building a SimCLR model to learn meaningful image representations without labels, then ...

Abstract: Affective Video Facial Analysis (AVFA) is important for advancing emotion-aware AI, yet the persistent data scarcity in AVFA presents challenges. Recently, the self-supervised learning (SSL) ...

Abstract: In out-of-distribution detection, methods based on the Mahalanobis distance have excellent performance for detecting out-of-distribution data. The Mahalanobis distance measures the distance ...

Introduction: Accurate mapping of the spatial distribution of diverse cell types is essential for understanding the cellular organization of brain. However, the cellular heterogeneity and the ...

ABSTRACT: Individuals demonstrate defensive mechanisms. The current study refers to the immature defense mechanisms of learners. It aims to investigate how immature defense mechanisms among learners, ...

Crop identification and monitoring of crop dynamics are essential for agricultural planning, environmental monitoring, and ensuring food security. Recent advancements in remote sensing technology and ...

Abstract: Annotated large-scale datasets are crucial for pathology image analysis, yet creating such datasets is challenging. Self-supervised learning (SSL) offers a potential solution to reduce the ...

This is the official implementation of "MIRROR: Multi-Modal Pathological Self-Supervised Representation Learning via Modality Alignment and Retention". MIRROR is a novel multi-modal representation ...