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Found 7 papers, 1 papers with code
Subspecialty-Specific Foundation Model for Intelligent Gastrointestinal Pathology
Gastrointestinal (GI) diseases represent a clinically significant burden, necessitating precise diagnostic approaches to optimize patient outcomes.
Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation
Large-scale generative models have achieved remarkable advancements in various visual tasks, yet their application to shadow removal in images remains challenging.
Agent Aggregator with Mask Denoise Mechanism for Histopathology Whole Slide Image Analysis
The prevailing strategy is to use attention mechanisms to measure instance importance for classification.
Multi-frame Joint Enhancement for Early Interlaced Videos
Early interlaced videos usually contain multiple and interlacing and complex compression artifacts, which significantly reduce the visual quality.
Ranked #1 on
Video Deinterlacing
on MSU Deinterlacer Benchmark
Improving Global Forest Mapping by Semi-automatic Sample Labeling with Deep Learning on Google Earth Images
To provide guidelines for users and producers, it is urgent to produce a validation sample set at the global level.
Super-resolution-based Change Detection Network with Stacked Attention Module for Images with Different Resolutions
The experimental results demonstrate the superiority of the proposed method, which not only outperforms all baselines -with the highest F1 scores of 87. 40% on the building change detection dataset and 92. 94% on the change detection dataset -but also obtains the best accuracies on experiments performed with images having a 4x and 8x resolution difference.
GUN: Gradual Upsampling Network for Single Image Super-Resolution
The GUN consists of an input layer, multiple upsampling and convolutional layers, and an output layer.
