Rethinking Monocular Height Estimation From a Classification Task Perspective Leveraging the Vision Transformer
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3222457
Abstract: Height estimation from a single remote sensing image has great potential in generating digital surface models (DSMs) efficiently for a quick Earth surface reconstruction. Recently, convolutional neural networks (CNNs) have emerged as a powerful method… read more here.
Keywords: estimation; classification task; bin subdivision; height estimation ... See more keywords
Acrophobia Quantified by EEG Based on CNN Incorporating Granger Causality
Sign Up to like & getrecommendations! Published in 2021 at "International journal of neural systems"
DOI: 10.1142/s0129065720500690
Abstract: The aim of this study is to quantify acrophobia and provide safety advices for high-altitude workers. Considering that acrophobia is a fuzzy quantity that cannot be accurately evaluated by conventional detection methods, we propose a… read more here.
Keywords: classification task; granger causality; method; causality ... See more keywords
Analyzing LLAMA3 Performance on Classification Task Using LoRA and QLoRA Techniques
Sign Up to like & getrecommendations! Published in 2025 at "Applied Sciences"
DOI: 10.3390/app15063087
Abstract: Large language models (LLMs), consisting of billions and trillions of parameters, have demonstrated exceptional ability in natural language understanding (NLU) and natural language generation (NLG) tasks. Increases in their numbers of parameters and model sizes… read more here.
Keywords: classification task; lora qlora; qlora techniques; performance ... See more keywords