In the real world, objects never occur in isolation; they co-vary with other objects and particular
environments, providing a rich source of contextual associations to be exploited by the …

The Alpha Magnetic Spectrometer (AMS) is a precision particle physics detector on the
International Space Station (ISS) conducting a unique, long-duration mission of fundamental …

This review takes into consideration the principal vaccines developed against the SARS-CoV-2
in this unprecedented period of Covid-19 pandemic. We evaluated the mechanism of …

In this work, we revisit the global average pooling layer proposed in [13], and shed light on
how it explicitly enables the convolutional neural network (CNN) to have remarkable …

Scene recognition is one of the hallmark tasks of computer vision, allowing definition of a
context for object recognition. Whereas the tremendous recent progress in object recognition …

Scene categorization is a fundamental problem in computer vision. However, scene
understanding research has been constrained by the limited scope of currently-used databases …

We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It offers
3,670 hours of daily-life activity video spanning hundreds of scenarios (household, outdoor…

Many experiments have shown that the human visual system makes extensive use of contextual
information for facilitating object search in natural scenes. However, the question of how …

We propose a general framework called Network Dissection for quantifying the interpretability
of latent representations of CNNs by evaluating the alignment between individual hidden …

With the success of new computational architectures for visual processing, such as
convolutional neural networks (CNN) and access to image databases with millions of labeled …