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Pip-net: Patch-based intuitive prototypes for interpretable image classification
Interpretable methods based on prototypical patches recognize various components in an
image in order to explain their reasoning to humans. However, existing prototype-based …
image in order to explain their reasoning to humans. However, existing prototype-based …
Uninformed students: Student-teacher anomaly detection with discriminative latent embeddings
We introduce a powerful student-teacher framework for the challenging problem of
unsupervised anomaly detection and pixel-precise anomaly segmentation in high-resolution …
unsupervised anomaly detection and pixel-precise anomaly segmentation in high-resolution …
Star: A structure and texture aware retinex model
Retinex theory is developed mainly to decompose an image into the illumination and
reflectance components by analyzing local image derivatives. In this theory, larger …
reflectance components by analyzing local image derivatives. In this theory, larger …
[HTML][HTML] Towards reliable object representation via sparse directional patches and spatial center cues
In the process of image understanding, the human visual system (HVS) performs multiscale
analysis on various objects. HVS primarily focuses on marginally conspicuous image …
analysis on various objects. HVS primarily focuses on marginally conspicuous image …
Aesthetic-guided outward image crop**
Image crop** is a commonly used post-processing operation for adjusting the scene
composition of an input photography, therefore improving its aesthetics. Existing automatic …
composition of an input photography, therefore improving its aesthetics. Existing automatic …
Pixel‐wise dense detector for image inpainting
Recent GAN‐based image inpainting approaches adopt an average strategy to discriminate
the generated image and output a scalar, which inevitably lose the position information of …
the generated image and output a scalar, which inevitably lose the position information of …
[PDF][PDF] Fundamental research
J Li, Y Zhang - Food and Machinery, 2021 - researchgate.net
abstract Offshore carbon capture, utilization, and storage (CCUS) is to capture CO2 from
emission sources and then inject the captured CO2 into sub-seabed geological reservoirs …
emission sources and then inject the captured CO2 into sub-seabed geological reservoirs …
Unsupervised deep learning for text line segmentation
We present an unsupervised deep learning method for text line segmentation that is inspired
by the relative variance between text lines and spaces among text lines. Handwritten text …
by the relative variance between text lines and spaces among text lines. Handwritten text …
Unsupervised deep learning for handwritten page segmentation
Segmenting handwritten document images into regions with homogeneous patterns is an
important pre-processing step for many document images analysis tasks. Hand-labeling …
important pre-processing step for many document images analysis tasks. Hand-labeling …
Multiple point geostatistical simulation with adaptive filter derived from neural network for sedimentary facies classification
F Han, H Zhang, J Rui, K Wei, D Zhang… - Marine and Petroleum …, 2020 - Elsevier
Sedimentary facies distribution is a vital reference for oil and gas exploration in an offshore
area. One of remaining questions in a marine exploration area is to acquire an accurate …
area. One of remaining questions in a marine exploration area is to acquire an accurate …