Integrating Multiscale Linear Attention and Focal Loss for Robust Pest Classification
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3473536
Abstract: Agricultural pests significantly impact crop yield and quality, threatening food security and causing economic losses. Therefore, the precise identification of pests is crucial for improving agricultural production. However, traditional pest classification methods struggle to capture… read more here.
Keywords: pest classification; linear attention; attention; focal loss ... See more keywords
A Dual-Stage Wavelet and Linear Attention Enhancement Network for Agricultural Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3628164
Abstract: Hyperspectral image (HSI) classification faces unique challenges in an agricultural scenario due to spectral–spatial feature similarity caused by complex planting structures and high spectral similarity. Existing spatial–spectral joint feature extraction methods fail to fully exploit… read more here.
Keywords: classification; dual stage; linear attention; hyperspectral image ... See more keywords
TS-AC: Teacher–Student Model With Aggregation Masked Convolution and Concentrated Linear Attention for Chest CT Abnormality Detection
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3600720
Abstract: Chest computed tomography (CT) has become an essential imaging modality in the early screening and clinical diagnosis of pulmonary diseases. Among its key tasks, abnormality detection has garnered increasing attention. Teacher–student (T–S) models trained solely… read more here.
Keywords: detection; linear attention; convolution; attention ... See more keywords