Jun 12, 2024 · Object detection merges image classification and localization. It detects multiple objects in an image, assigns labels to them, and provides their locations through bounding …

Oct 31, 2019 · Object detection includes localizing instances of a particular object (top), as well as generalizing to detecting object categories in general (bottom). This survey focuses on recent …

DetectorNet employs a region-based approach for object detection, where it first identifies regions of interest (ROIs) and then performs 3D bounding box estimation to localize objects more …

Jun 10, 2021 · To put it simply: Object detection comes down to drawing bounding boxes around detected objects which allow us to locate them in a given scene (or how they move through it). …

Object detection involves detecting instances of objects from a particular class in an image. The goal of object detection is to detect all instances of objects from a known class, such as …

Oct 4, 2024 · Object detection is an important computer vision task used to detect instances of visual objects of certain classes (for example, humans, animals, cars, or buildings) in digital …

In this paper, we aim to investigate the UDA techniques for object detection, namely, Domain Adaptive Object Detection (DAOD).

Sep 20, 2024 · Object detection is a fundamental problem in computer vision that involves identifying instances of objects in images or videos and determining their locations using …

Sep 6, 2018 · Object detection, one of the most fundamental and challenging problems in computer vision, seeks to locate object instances from a large number of predefined …

Jul 4, 2024 · Object detection combines the tasks of image classification and object localization tasks to determine objects' presence and draw bounding boxes around them. In this article, we …