A comprehensive review of object detection with traditional and deep …
This section is divided into two types of detectors: traditional methods and deep learning methods. The deep learning methods are further categorized into single-stage, two-stage, transformer …
Introduction to Object Detection Using Image Processing
Jun 7, 2024 · Object detection is a crucial task in computer vision that involves identifying and locating objects within an image or video. This task is fundamental for various applications, …
We propose a simple approach for fine-grained sam-pling approach for active learning to train object de-tectors, and introduce a new methodology built on ex-isting object detection models …
(PDF) A Survey of Deep Learning-Based Object Detection Methods …
Jan 1, 2022 · This survey paper provides a comprehensive overview and comparative reviews on the most up-to-date deep learning-based object detection in overhead images.
A review of object detection based on deep learning
Jun 12, 2020 · The increase in the number and quality of images in the datasets can certainly promote the development of deep learning. The image datasets are abundant, ranging from …
TD-Sampler: Learning a Training Difficulty Based Sampling …
Based on the TD predictor, we propose a sampling strategy which prefers a batch of training data with more novel class data and lower probability of incurring significant changes on the …
Dynamic sampling of images from various categories for …
Jul 15, 2021 · Our data sampling algorithm is capable of sampling data from image classes before training even starts by automatically selecting a number of samples per class needed for …
A survey of deep learning techniques for detecting and …
Nov 1, 2024 · Deep learning-based methods have shown to be remarkably effective at identifying and localizing objects in images and video streams when it comes to object detection. Deep …
Image recognition is the method of automatically locating and classifying items or patterns in digital stills or moving pictures. It is essential to a variety of real-world applications, including …
(PDF) State-of-the-Art Deep Learning Methods for Objects Detection …
Jun 23, 2023 · Conclusions: This paper provides a comprehensive performance evaluation and analysis of the recent deep learning-based object detection methods for detecting objects in …
- Some results have been removed