Latest Research
CloudS2Mask: A novel deep learning approach for improved cloud and cloud shadow masking in Sentinel-2 imagery
DPIRD-DMA/CloudS2Mask
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Remote Sensing of Environment 2024
Precise and efficient cloud and cloud shadow masking methods are required for the automated use of this data.
RSHazeDiff: A Unified Fourier-aware Diffusion Model for Remote Sensing Image Dehazing
Since remote sensing images contain extensive small-scale texture structures, it is important to effectively restore image details from hazy images.
Tell Me Why: Explainable Public Health Fact-Checking with Large Language Models
This paper presents a comprehensive analysis of explainable fact-checking through a series of experiments, focusing on the ability of large language models to verify public health claims and provide explanations or justifications for their veracity assessments.
ReconBoost: Boosting Can Achieve Modality Reconcilement
This paper explores a novel multi-modal alternating learning paradigm pursuing a reconciliation between the exploitation of uni-modal features and the exploration of cross-modal interactions.
RobustMVS: Single Domain Generalized Deep Multi-view Stereo
To evaluate the generalization results, we build a novel MVS domain generalization benchmark including synthetic and real-world datasets.
Xmodel-VLM: A Simple Baseline for Multimodal Vision Language Model
We introduce Xmodel-VLM, a cutting-edge multimodal vision language model.
ICAL: Implicit Character-Aided Learning for Enhanced Handwritten Mathematical Expression Recognition
Significant progress has been made in the field of handwritten mathematical expression recognition, while existing encoder-decoder methods are usually difficult to model global information in \LaTeX.
Gaze-DETR: Using Expert Gaze to Reduce False Positives in Vulvovaginal Candidiasis Screening
Accurate detection of vulvovaginal candidiasis is critical for women's health, yet its sparse distribution and visually ambiguous characteristics pose significant challenges for accurate identification by pathologists and neural networks alike.
Lens functions for exploring UMAP Projections with Domain Knowledge
The effectiveness of the lens functions is demonstrated in two use cases and their computational cost is analysed in a synthetic benchmark.
OpenGait: A Comprehensive Benchmark Study for Gait Recognition towards Better Practicality
shiqiyu/opengait
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To this end, we first develop OpenGait, a flexible and efficient gait recognition platform.
