This article profiles and explains the words, phrases, rules, exceptions, and devices that define the English language in its modern form.

We propose MaskCut approach to generate pseudo-masks for multiple objects in an image. CutLER can learn unsupervised object detectors and instance segmentors solely on ImageNet-1K. CutLER exhibits ...

ABSTRACT: This study examines the object complement in Arabic and compares it with its equivalent structures in French from a contrastive grammatical perspective. The research focuses on the ...

In the article on parts of speech, we learned that words have categories (nouns, verbs, adjectives, etc.). And I have repeatedly warned you: "Parts of speech (word types)" and "sentence elements ...

Abstract: Accurately and timely detecting multiscale small objects that contain tens of pixels from remote sensing images (RSI) remains challenging. Most of the existing solutions primarily design ...

Many people feel this way and cannot take the first step. In this series, we will learn the English actually used in overseas remote work through the story of "teaching Japanese while traveling." The ...

OBER (OBject-Effect Removal) is a hybrid dataset designed to support research in object removal with effects, combining both camera-captured and simulated data. 🔥 We have released the full dataset ...

Abstract: The Visible-Infrared (VIS-IR) object detection is a challenging detection task, which combines visible and infrared data to give information on the category and location of objects in the ...