A SYSTEMATIC LITERATURE REVIEW OF DEEP LEARNING APPROACHES FOR SKETCH-BASED IMAGE RETRIEVAL: DATASETS, METRICS, AND FUTURE DIRECTIONS

A Systematic Literature Review of Deep Learning Approaches for Sketch-Based Image Retrieval: Datasets, Metrics, and Future Directions

Sketch-based image retrieval (SBIR) utilizes sketches to search for images containing similar objects or scenes.Due to the proliferation of touch-screen devices, sketching has become more accessible and therefore has received increasing attention.Deep learning has emerged as a potential tool for SBIR, allowing models to automatically extract image

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TIE‐GCM ROPE ‐ Dimensionality Reduction: Part I

Abstract Physics‐based models of the ionosphere‐thermosphere system have been touted as the next big thing in the context of drag modeling and space operations for decades.However, the computational complexity of such models have primarily kept them being used operationally.We recently demonstrated a proof‐of‐concept for developing what we

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Contrasting population and life history responses of a young morph-pair of European whitefish to the invasion of a specialised coregonid competitor, vendace.

Invasions of non-native species represent a global problem of great scientific interest.Here we study in detail the response in population and life history characteristics of closely related native species, with divergent habitat preferences, that are impacted by an invading species over a sufficient time period to allow a new stable state to becom

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