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09/11/2023
Diving into Darkness: A Dual-Modulated Framework for High-Fidelity Super-Resolution in Ultra-Dark Environments
Super-resolution tasks oriented to images captured in ultra-dark environ...
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07/28/2023
Learning with Constraint Learning: New Perspective, Solution Strategy and Various Applications
The complexity of learning problems, such as Generative Adversarial Netw...
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05/30/2023
Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting
Long-term time series forecasting (LTSF) is a crucial aspect of modern s...
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05/25/2023
PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image Deraining for Semantic Segmentation
In light of the significant progress made in the development and applica...
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05/17/2023
NFI_2: Learning Noise-Free Illuminance-Interpolator for Unsupervised Low-Light Image Enhancement
Low-light situations severely restrict the pursuit of aesthetic quality ...
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10/05/2022
TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning
Electrical energy is essential in today's society. Accurate electrical l...
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05/20/2022
Revisiting GANs by Best-Response Constraint: Perspective, Methodology, and Application
In past years, the minimax type single-level optimization formulation an...
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11/16/2021
Task allocation for decentralized training in heterogeneous environment
The demand for large-scale deep learning is increasing, and distributed ...
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01/27/2021