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Found 11 papers, 2 papers with code
Discriminative Partial Domain Adversarial Network
Previous methods typically match the whole source domain to target domain, which causes negative transfer due to the source-negative classes in source domain that does not exist in target domain.
Federated Learning Model Aggregation in Heterogenous Aerial and Space Networks
Direct sharing of the data distribution may be prohibitive due to the additional private information that is sent from the clients.
Reconfigurable Intelligent Surface-Enabled Gridless DoA Estimation System for NLoS Scenarios
The conventional direction-of-arrival (DoA) estimation approaches only be effective when the line-of-sight (LoS) link exists, while in the case of the non-line-of-sight (NLoS) situation, the spatial angle can not be captured and thus the DoA estimation performance would be significantly degraded.
Ghost-free High Dynamic Range Imaging via Hybrid CNN-Transformer and Structure Tensor
In this letter, we present a hybrid model consisting of a convolutional encoder and a Transformer decoder to generate ghost-free HDR images.
Learning to Kindle the Starlight
Capturing highly appreciated star field images is extremely challenging due to light pollution, the requirements of specialized hardware, and the high level of photographic skills needed.
Multimodal Image Fusion based on Hybrid CNN-Transformer and Non-local Cross-modal Attention
In this article, we present a hybrid model consisting of a convolutional encoder and a Transformer-based decoder to fuse multimodal images.
A Hybrid Labeled Multi-Bernoulli Filter With Amplitude For Tracking Fluctuating Targets
The amplitude information of target returns has been incorporated into many tracking algorithms for performance improvements.
An Uncertainty-aware Loss Function for Training Neural Networks with Calibrated Predictions
Uncertainty quantification of machine learning and deep learning methods plays an important role in enhancing trust to the obtained result.
Self-Adaptive Partial Domain Adaptation
Partial Domain adaptation (PDA) aims to solve a more practical cross-domain learning problem that assumes target label space is a subset of source label space.
On the Philosophical, Cognitive and Mathematical Foundations of Symbiotic Autonomous Systems (SAS)
Symbiotic Autonomous Systems (SAS) are advanced intelligent and cognitive systems exhibiting autonomous collective intelligence enabled by coherent symbiosis of human-machine interactions in hybrid societies.
Array Resource Allocation for Radar and Communication Integration Network
This paper considers the array allocation problems for multiple target localization and multiple platforms communication in an RCI network.
