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Found 11 papers, 0 papers with code
DiffColor: Toward High Fidelity Text-Guided Image Colorization with Diffusion Models
To address these issues, we propose a new method called DiffColor that leverages the power of pre-trained diffusion models to recover vivid colors conditioned on a prompt text, without any additional inputs.
OMSN and FAROS: OCTA Microstructure Segmentation Network and Fully Annotated Retinal OCTA Segmentation Dataset
The lack of efficient segmentation methods and fully-labeled datasets limits the comprehensive assessment of optical coherence tomography angiography (OCTA) microstructures like retinal vessel network (RVN) and foveal avascular zone (FAZ), which are of great value in ophthalmic and systematic diseases evaluation.
Bayesian Federated Neural Matching that Completes Full Information
Federated learning is a contemporary machine learning paradigm where locally trained models are distilled into a global model.
Potential Advantages of Peak Picking Multi-Voltage Threshold Digitizer in Energy Determination in Radiation Measurement
After processing 30, 000 randomly-chosen pulses sampled by the oscilloscope with a 22Na point source, our method achieves an energy resolution of 17. 50% within a 450-650 KeV energy window, which is 2. 44% better than the result of traditional MVT with same thresholds; and we get a count number at 15225 in the same energy window while the result of MVT is at 14678.
Graph-based Matched Field Localization for an Underwater Source
Matched Field Processing (MFP) locates the underwater sources by matching the received data with the replica vectors, which could be regarded as a generalized beamformer.
Probabilistic Federated Learning of Neural Networks Incorporated with Global Posterior Information
In federated learning, models trained on local clients are distilled into a global model.
An automated and multi-parametric algorithm for objective analysis of meibography images
Meibography is a non-contact imaging technique used by ophthalmologists to assist in the evaluation and diagnosis of meibomian gland dysfunction (MGD).
Ocean Reverberation Suppression via Matrix Completion with Sensor Failure
Therefore, it is a challenge for target detection in the ocean reverberation with sensor failure.
DeepFPC: Deep Unfolding of a Fixed-Point Continuation Algorithm for Sparse Signal Recovery from Quantized Measurements
We present DeepFPC, a novel deep neural network designed by unfolding the iterations of the fixed-point continuation algorithm with one-sided l1-norm (FPC-l1), which has been proposed for solving the 1-bit compressed sensing problem.
Neural Network for NILM Based on Operational State Change Classification
Energy disaggregation in a non-intrusive way estimates appliance level electricity consumption from a single meter that measures the whole house electricity demand.
Query Answering with Inconsistent Existential Rules under Stable Model Semantics
Surprisingly, for R-acyclic existential rules with R-stratified or guarded existential rules with stratified negations, both the data complexity and combined complexity of query answering under the rule {repair semantics} remain the same as that under the conventional query answering semantics.
