GUI design can be a tedious job, requiring the use of specialist design tools and finding a suitable library that fits your use case. If you’re looking for a lightweight solution, though, ...

Abstract: Conventional training of deep neural networks requires a large number of the annotated image which is a laborious and time-consuming task, particularly for rare objects. Few-shot object ...

From Arduino, Python, to Thermodynamics and C and C++, we have combined some free courses from IIT Bombay, Kanpur, Guwahati, Madras and more.

"'Oumuamua is in a different category of object. It's much harder to find, but there are a lot more of them." The first interstellar object to visit the solar system may have been a fragment of an icy ...

Abstract: Object detectors are typically trained on a large set of still images annotated by bounding-boxes. This paper introduces an approach for learning object detectors from real-world web videos ...

Fits L1 loss regularized linear regression models using the Python sklearn.linear_model.Lasso class for a dependent variable on one or more independent variables, and includes optional modes to ...

#OctopusEffects, #aftereffects Here is a short video on how to remove unwanted objects in your video, using Content-Aware Fill. Removing unwanted objects in a video can be a complicated and time ...

Specifically for the classification task, the goal is, for each of the classes predict the presence/ absence of at least one object of that class in a test image. We will use Pascal VOC 2012 dataset ...