CTNet: an efficient coupled transformer network for robust hyperspectral unmixing
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2024.2371084
Abstract: ABSTRACT This study introduces the coupled transformer Network (CTNet), an architecture designed to enhance the robustness and effectiveness of hyperspectral unmixing (HSU) tasks, addressing key limitations of traditional autoencoder (AE) frameworks. Traditional AEs, consisting of… read more here.
Keywords: coupled transformer; hyperspectral unmixing; ctnet; network ... See more keywords
Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3151975
Abstract: Accurately predicting the Remaining Useful Life (RUL) of a Li-ion battery plays an important role in managing the health and estimating the state of a battery. With the rapid development of electric vehicles, there is… read more here.
Keywords: network; useful life; remaining useful; transformer network ... See more keywords
Siamese Transformer Network for Real-Time Aerial Object Tracking
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3211516
Abstract: Recently, deep learning (DL) based trackers have attracted tremendous interest for their high performance. Despite the remarkable success, most trackers utilizing deep convolution features commonly neglect tracking speed, which is crucial for aerial tracking on… read more here.
Keywords: siamese transformer; transformer network; real time; network real ... See more keywords
Wi-Fi-Enabled Vision via Spatially-Variant Pose Estimation Based on Convolutional Transformer Network
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3568505
Abstract: Wi-Fi-enabled vision offers a transformative paradigm for non-optical pose estimation, particularly in occluded or privacy-sensitive environments where traditional visual systems falter. Despite its promise, extracting reliable pose information from Wi-Fi Channel State Information (CSI) remains… read more here.
Keywords: convolutional transformer; pose estimation; estimation; transformer network ... See more keywords
Modulation Classification of Active Attacks in Internet of Things: Lightweight MCBLDN With Spatial Transformer Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3163892
Abstract: The Internet of Things (IoT) permeates every aspect of our daily lives as billions of interconnected devices are deployed in the physical world. However, IoT networks operate in an untrusted environment and often suffer from… read more here.
Keywords: network; classification; modulation; spatial transformer ... See more keywords
KSLD-TNet: Key Sample Location and Distillation Transformer Network for Multistep Ahead Prediction in Industrial Processes
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2023.3336789
Abstract: The multistep ahead prediction of crucial quality indicators is the cornerstone for optimizing and controlling industrial processes. The accurate multistep ahead prediction over long prediction horizons holds great potential for improving production performance in industrial… read more here.
Keywords: industrial processes; prediction; ahead prediction; multistep ahead ... See more keywords
ENSO Forecasts With Spatiotemporal Fusion Transformer Network
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3447356
Abstract: The El Niño-Southern Oscillation (ENSO) is a global significant signal which exerts substantial climatic and socioeconomic impacts worldwide. However, the long-term prediction of ENSO persists as a challenge because of its diversity, irregularity, and asymmetry.… read more here.
Keywords: enso forecasts; fusion transformer; spatiotemporal fusion; transformer network ... See more keywords
Convolutional Transformer Network for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3169815
Abstract: Convolutional neural networks (CNNs) have attained remarkable performance in hyperspectral image (HSI) classification. However, the existing CNNs are restricted by their limited receptive field in HSI classification. Recently, transformer networks have proved to be promising… read more here.
Keywords: convolutional transformer; classification; hsi classification; transformer network ... See more keywords
Multispectral Fusion Transformer Network for RGB-Thermal Urban Scene Semantic Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3179721
Abstract: Semantic segmentation plays a vital role in autonomous vehicles. Fusing the rich details of RGB image and the illumination robustness of thermal image has great potential to improve the performance of RGB-T semantic segmentation. In… read more here.
Keywords: fusion; fusion transformer; multispectral fusion; transformer network ... See more keywords
SAR Image Time Series for Land Cover Mapping via Sparse Local–Global Temporal Transformer Network
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2025.3574022
Abstract: Due to the effective embedding of temporal information, time-series synthetic aperture radar (SAR) images can acquire more abundant land cover information, thereby effectively enhancing the accuracy of land cover mapping. However, the significant introduction of… read more here.
Keywords: cover mapping; time series; transformer network; land cover ... See more keywords
Signal Modulation Classification Based on the Transformer Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cognitive Communications and Networking"
DOI: 10.1109/tccn.2022.3176640
Abstract: In this work, the Transformer Network (TRN) is applied to the automatic modulation classification (AMC) problem for the first time. Different from the other deep networks, the TRN can incorporate the global information of each… read more here.
Keywords: classification; transformer network; modulation classification;