Tuning a SAM-Based Model with Multi-Cognitive Visual Adapter to Remote Sensing Instance Segmentation
The segment anything model (SAM), a foundational model designed for promptable
segmentation tasks, demonstrates exceptional generalization capabilities, making it highly …
segmentation tasks, demonstrates exceptional generalization capabilities, making it highly …
ClassWise-SAM-adapter: Parameter efficient fine-tuning adapts segment anything to SAR domain for semantic segmentation
In the realm of artificial intelligence, the emergence of foundation models, backed by high
computing capabilities and extensive data, has been revolutionary. Segment Anything Model (…
computing capabilities and extensive data, has been revolutionary. Segment Anything Model (…
A Siamese Network-Based Similarity Measure for Target in SAR Images
Synthetic Aperture Radar (SAR) has been widely applied due to its capability for continuous
monitoring under all-weather and all-time conditions. Unlike optical images, targets in SAR …
monitoring under all-weather and all-time conditions. Unlike optical images, targets in SAR …
Star generative adversarial VGG network-based sample augmentation for insulator defect detection
L Zhang, L Wang, Z Yan, Z Jia, H Wang… - International Journal of …, 2024 - Springer
Deep learning-based automated detection of insulator defects in electric power systems is a
critical technological challenge, pivotal for ensuring reliability and efficiency in the global …
critical technological challenge, pivotal for ensuring reliability and efficiency in the global …
Seismic fragility and loss estimation of self-centering steel braced frames under mainshock-aftershock sequences
This paper highlights the importance of considering local component failure of self-centering
braces (SCBs) when examining the seismic fragility and economic performance of …
braces (SCBs) when examining the seismic fragility and economic performance of …
Predicting reaction rate constants of organic compounds with oxidants in the atmospheric aqueous-phase through multi-task learning
L Gu, Z Chen - Atmospheric Environment, 2024 - Elsevier
The atmospheric aqueous-phase chemistry has received increasing attention in the last
decades for its non-negligible environmental significance. Yet, the insufficient experimental data …
decades for its non-negligible environmental significance. Yet, the insufficient experimental data …
Style alignment-based dynamic observation method for UAV-view geo-localization
J Shao, LH Jiang - IEEE Transactions on Geoscience and …, 2023 - ieeexplore.ieee.org
… The parameter size of our method is only 23.6M, which is similar to LPN, Vit-s, and Zheng,
but our AP value is much higher than these three methods. FSRA has the top results among …
but our AP value is much higher than these three methods. FSRA has the top results among …
Initial design and multi-objective optimization of four-product dividing wall column
Y Zheng, Z Wang, H Pan, H Ling - Separation and Purification Technology, 2023 - Elsevier
The numerous design alternatives and decision variables of four-product dividing wall column
(DWC) have presented significant challenges for its steady-state design. Therefore, this …
(DWC) have presented significant challenges for its steady-state design. Therefore, this …
FCC coprocessing oil sands heavy gas oil and canola oil. 1. Yield structure
SH Ng, M Al-Sabawi, J Wang, H Ling, Y Zheng, Q Wei… - Fuel, 2015 - Elsevier
Reducing the carbon footprint or GHG emissions is a major challenge during the production
and processing of Canadian oil sands bitumen for clean transportation fuels. Co-processing …
and processing of Canadian oil sands bitumen for clean transportation fuels. Co-processing …
Evaluation of multi-objective optimization methods applied to ternary dividing-wall columns
G Li, S Guan, Y Gao, W Liu, Y Zheng, H Pan… - … Research and Design, 2024 - Elsevier
Multi-objective optimization algorithms are widely employed in the optimization of Dividing-Wall
Column (DWC). However, due to the inherent complexity of DWC design problems, the …
Column (DWC). However, due to the inherent complexity of DWC design problems, the …