For the monochrome art dataset analyzed in this study, slope anisotropy values are generally similar across different centuries, country of origin, techniques and subject matters, with few exceptions (etchings, drawings and living matters; Table S3).
This study represents the first attempt to examine the spatial and seasonal variations of the surface water budget by using state-of-the-art datasets for sixteen large Canadian drainage basins with a total area of 3.2 million km2.
The virtue of the TSO model comes from employing granular state-of-the-art datasets such as half-hourly electricity demands and prices, irradiance levels from weather stations, and technology databases; while also considering building specific attributes.
Finally, we envision to make the COGNIMUSE database a public state-of-the-art dataset for attention-related tasks and multimodal understanding applications.
The results also indicate that the proposed dynamic texture-based face liveness description was able to improve the state of the art on both datasets.
Table 3 compares proposed method with the state of the art on Olympic dataset.
The best proposed method yields a classification accuracy of 97.9% – an error reduction of 64.4% when compared to the state of the art – on a dataset of 800 challenging test cases.
We accomplish this through fine-tuning experiments using a state-of-the-art CNN and via rigorous architecture analysis, we present several modifications that lead to accuracy improvements over prior art on a dataset of images from a popular social media platform.
Experiments showed this method is competitive with state of the art methods on AR datasets and can be extended to deal with other types of disguise, not just sunglasses or scarf.
We report state-of-the-art performance on multiple datasets pertaining to three different levels: senses, words, and texts.
Experimental results show that the proposed method yields the state-of-the-art performance for several datasets.
