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Found 5 papers, 4 papers with code
Adaptive Illumination Mapping for Shadow Detection in Raw Images
In this paper, we propose a novel method to detect shadows from raw images.
MODNet-V: Improving Portrait Video Matting via Background Restoration
In this work, we observe that instead of asking the user to explicitly provide a background image, we may recover it from the input video itself.
GCN-MIF: Graph Convolutional Network with Multi-Information Fusion for Low-dose CT Denoising
To address this issue, we propose a novel graph convolutional network-based LDCT denoising model, namely GCN-MIF, to explicitly perform multi-information fusion for denoising purpose.
Lesion-Inspired Denoising Network: Connecting Medical Image Denoising and Lesion Detection
To this end, we propose a play-and-plug medical image denoising framework, namely Lesion-Inspired Denoising Network (LIDnet), to collaboratively improve both denoising performance and detection accuracy of denoised medical images.
MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition
MODNet is easy to be trained in an end-to-end manner.
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