Self-supervised learning (SSL) has gained widespread attention in the remote sensing (RS) and earth observation (EO) communities owing to its ability learn task-agnostic representations without human-annotated labels. Nevertheless, most existing RS SSL methods are limited either global semantic separable or local spatial perceptible representations. We argue that this strategy is suboptimal rea...

We address the challenging problem of Natural Language Comprehension beyond plain-text documents by introducing TILT neural network architecture which simultaneously learns layout information, visual features, and textual semantics. Contrary to previous approaches, we rely on a decoder capable unifying variety problems involving natural language. The is represented as an attention bias compleme...

In recent years, supervised learning has been widely used in various tasks of optical remote sensing image (RSI) understanding, including RSI classification, pixel-wise segmentation, change detection, and object detection. The methods based on need a large amount high-quality training data, their performance highly depends the quality labels. However, practical applications, it is often expensi...

the purpose of this study was to analyze the philosophical hermeneutics of gadamer، and show its implications for the attainment of self-understanding، otherness- understanding and together – understand in education. to achieve this objective، descriptive research methods and conceptual analysis of the qualitative research approach was used in. this study، the theoretical foundations and philos...