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Found 21 papers, 8 papers with code
Text-IRSTD: Leveraging Semantic Text to Promote Infrared Small Target Detection in Complex Scenes
To address this issue, we introduce a novel approach leveraging semantic text to guide infrared small target detection, called Text-IRSTD.
RAP-SR: RestorAtion Prior Enhancement in Diffusion Models for Realistic Image Super-Resolution
RPR refines the restoration prior using the HFAID, while ROPO optimizes the unique restoration identifier, improving the quality of the resulting images.
Single-Point Supervised High-Resolution Dynamic Network for Infrared Small Target Detection
It balances network depth and feature resolution to maintain deep IR small-target information.
ZeroDDI: A Zero-Shot Drug-Drug Interaction Event Prediction Method with Semantic Enhanced Learning and Dual-Modal Uniform Alignment
Drug-drug interactions (DDIs) can result in various pharmacological changes, which can be categorized into different classes known as DDI events (DDIEs).
Heterogeneous Causal Metapath Graph Neural Network for Gene-Microbe-Disease Association Prediction
HCMGNN constructs a heterogeneous graph linking genes, microbes, and diseases through their pairwise associations, and utilizes six predefined causal metapaths to extract directed causal subgraphs, which facilitate the multi-view analysis of causal relations among three entity types.
Video Frame Interpolation for Polarization via Swin-Transformer
Video Frame Interpolation (VFI) has been extensively explored and demonstrated, yet its application to polarization remains largely unexplored.
Multi-Level Feature Fusion Network for Lightweight Stereo Image Super-Resolution
Stereo image super-resolution utilizes the cross-view complementary information brought by the disparity effect of left and right perspective images to reconstruct higher-quality images.
Coefficient Decomposition for Spectral Graph Convolution
Then, we show that the convolution block in existing SGCNs can be derived by performing a certain coefficient decomposition operation on the coefficient tensor.
Infrared Polarization Imaging-based Non-destructive Thermography Inspection
Simulation results showed that the degree of infrared polarization of the object surface changed regularly with changes in thermal environment radiation.
Efficient Meta-Learning Enabled Lightweight Multiscale Few-Shot Object Detection in Remote Sensing Images
Presently, the task of few-shot object detection (FSOD) in remote sensing images (RSIs) has become a focal point of attention.
Fine-Grained Stateful Knowledge Exploration: A Novel Paradigm for Integrating Knowledge Graphs with Large Language Models
Most existing methods use a paradigm that treats the question as the objective, with relevant knowledge being incrementally retrieved from the knowledge graph.
A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation
Therapeutic peptides represent a unique class of pharmaceutical agents crucial for the treatment of human diseases.
HampDTI: a heterogeneous graph automatic meta-path learning method for drug-target interaction prediction
More importantly, HampDTI identifies the important meta-paths for DTI prediction, which could explain how drugs connect with targets in HNs.
Robust optimal policies for team Markov games
In stochastic dynamic environments, team Markov games have emerged as a versatile paradigm for studying sequential decision-making problems of fully cooperative multi-agent systems.
A possible blazar spectral irregularity case caused by photon--axionlike-particle oscillations
We investigate this possibility by fitting the spectrum with the photon-ALP oscillation model, and find that the parameter space of ALP mass $m_a\leq 10^{-8}$\, eV and the coupling constant (between photons and ALPs) $g_{a\gamma}$=1. 16--1. 48$\times 10^{-10}$\, GeV$^{-1}$ can provide a fit to the line-like feature, while the magnetic field at the emission site of $\gamma$-rays is fixed at 0. 7\, G.
High Energy Astrophysical Phenomena
Learning enables adaptation in cooperation for multi-player stochastic games
Interactions among individuals in natural populations often occur in a dynamically changing environment.
Event Arguments Extraction via Dilate Gated Convolutional Neural Network with Enhanced Local Features
However, the F-Score of event arguments extraction is much lower than that of event trigger extraction, i. e. in the most recent work, event trigger extraction achieves 80. 7%, while event arguments extraction achieves only 58%.
Tensor Decomposition with Relational Constraints for Predicting Multiple Types of MicroRNA-disease Associations
To this end, we innovatively represent miRNA-disease-type triplets as a tensor and introduce Tensor Decomposition methods to solve the prediction task.
pISTA-SENSE-ResNet for Parallel MRI Reconstruction
Magnetic resonance imaging has been widely applied in clinical diagnosis, however, is limited by its long data acquisition time.
A Guaranteed Convergence Analysis for the Projected Fast Iterative Soft-Thresholding Algorithm in Parallel MRI
The pFISTA, a simple and efficient algorithm for sparse reconstruction, has been successfully extended to parallel imaging.
A straightforward method to assess motion blur for different types of displays
A simulation method based on the liquid crystal response and the human visual system is suitable to characterize motion blur for LCDs but not other display types.
