2 papers
cs.CV2024
XAMI -- A Benchmark Dataset for Artefact Detection in XMM-Newton Optical Images
Julia Dima, Pablo Gómez, Sandor Kruk +3
Reflected or scattered light produce artefacts in astronomical observations that can negatively impact the scientific study. Hence, automated detection of these artefacts is highly…
cs.CV2024
MambaDepth: Enhancing Long-range Dependency for Self-Supervised Fine-Structured Monocular Depth Estimation
IonuÅ£ Grigore, CÄlin-Adrian Popa
In the field of self-supervised depth estimation, Convolutional Neural Networks (CNNs) and Transformers have traditionally been dominant. However, both architectures struggle with…