AAAI22-SJDL-Vehicle: Semi-supervised Joint Defogging Learning for Foggy Vehicle Re-identification
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Updated
Oct 3, 2022 - Python
AAAI22-SJDL-Vehicle: Semi-supervised Joint Defogging Learning for Foggy Vehicle Re-identification
Remaining useful life prediction. Degradation path approximation (DPA) is a highly easy-to-understand and brand-new solution way for data-driven RUL prediction. Many research directions on DPA can be further studied.
The code that powers my thesis
Official Implementation of "Deep Hybrid Model for Fault Diagnosis of Ship's Main Engine"
Image restoration in spatial domain
A Streamlit-based application for fitting and visualizing pseudo-first-order kinetic models in photocatalytic degradation studies. Includes support for experimental parameter input, real-time plotting, and basic error analysis.
Add randomizable real Degradations/Compression Artifacts in Vapoursynth.
Interpretability Metrics
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