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Found 13 papers, 2 papers with code
Full-Time Monocular Road Detection Using Zero-Distribution Prior of Angle of Polarization
Zero-distribution prior embodies the zero-distribution of Angle of Polarization (AoP) of a road scene image, which provides a significant contrast between the road and the background.
Integrating Physician Diagnostic Logic into Large Language Models: Preference Learning from Process Feedback
The use of large language models in medical dialogue generation has garnered significant attention, with a focus on improving response quality and fluency.
Enhancing the Spatial Awareness Capability of Multi-Modal Large Language Model
The Multi-Modal Large Language Model (MLLM) refers to an extension of the Large Language Model (LLM) equipped with the capability to receive and infer multi-modal data.
Multi-granularity Backprojection Transformer for Remote Sensing Image Super-Resolution
Backprojection networks have achieved promising super-resolution performance for nature images but not well be explored in the remote sensing image super-resolution (RSISR) field due to the high computation costs.
Enhancing Subtask Performance of Multi-modal Large Language Model
Finally, the results from multiple pre-trained models for the same subtask are compared using the LLM, and the best result is chosen as the outcome for that subtask.
CORE: Cooperative Reconstruction for Multi-Agent Perception
This paper presents CORE, a conceptually simple, effective and communication-efficient model for multi-agent cooperative perception.
Cross-Spatial Pixel Integration and Cross-Stage Feature Fusion Based Transformer Network for Remote Sensing Image Super-Resolution
The model incorporates cross-spatial pixel integration attention (CSPIA) to introduce contextual information into a local window, while cross-stage feature fusion attention (CSFFA) adaptively fuses features from the previous stage to improve feature expression in line with the requirements of the current stage.
Unsupervised Spectral Demosaicing with Lightweight Spectral Attention Networks
This paper presents a deep learning-based spectral demosaicing technique trained in an unsupervised manner.
PlugMed: Improving Specificity in Patient-Centered Medical Dialogue Generation using In-Context Learning
PlugMed is equipped with two modules, the prompt generation (PG) module and the response ranking (RR) module, to enhances LLMs' dialogue strategies for improving the specificity of the dialogue.
Inheriting Bayer's Legacy-Joint Remosaicing and Denoising for Quad Bayer Image Sensor
DJRD includes a newly designed Quad Bayer remosaicing (QB-Re) block, integrated denoising modules based on Swin-transformer and multi-scale wavelet transform.
Learning Pixel-Adaptive Weights for Portrait Photo Retouching
Secondly, as neighboring pixels exhibit different affinities to the center pixel, we estimate a local attention mask to modulate the influence of neighboring pixels.
Real-time division-of-focal-plane polarization imaging system with progressive networks
Division-of-focal-plane (DoFP) polarization imaging technical recently has been applied in many fields.
DTCA: Decision Tree-based Co-Attention Networks for Explainable Claim Verification
Simultaneously, the discovered evidence only roughly aims at the interpretability of the whole sequence of claims but insufficient to focus on the false parts of claims.
