… classical method, utilizing the non-shadows of the family to … , as the new polynomials are
associated with non-shadows of \({\… provides a stability result as shown in Theorems 1.8 and 1.9. …

… , utilizing the non-shadows of … non-shadows of J, we can gather additional structural
information of J, which not only offers optimal bounds in many scenarios but also provides a stability …

… accident of illumination and edges that correspond to stable features of the environment. This
… Thus we know that the visual system is able to tell shadows from nonshadows, and once it …

… of stability results in this line of research. In this paper, we provide a unified approach to proving
the stability … method, which leverages appropriate non-shadows to effectively handle the …

… With good visual results and average accuracy in excess of 91%, our method is feasible,
stable, and effective in detecting shadow regions and further reduces false positives caused by …

The presence of shadows in urban aerial images degrades the image quality and reduces
the application accuracy. Removing shadows and recovering the ground information is …

… We evaluated the performance by dividing it into shadows, non-shadows and the whole …
In addition, we used adversarial loss and reconstruction loss as joint loss for stability in training. …

… Generally, the difference of the hue values between shadows and non-shadows is … Results
suggest that our proposed OBSDD-S method can get a good and stable performance for …

… as non-shadows (Fig. 1 row 1) or dark non-shadow regions as shadows (Fig. 1 row 3),
with … To maintain a stable training with a reasonable batch size, we choose the light-weight …

… sort of shadow image, which provides the maximum percentage of accuracy and stability. …
[15] developed a method to classify picture pixels as shadows or non-shadows through the …