A survey of modern deep learning based object detection models
Object Detection is the task of classification and localization of objects in an image or video.
It has gained prominence in recent years due to its widespread applications. This article …
It has gained prominence in recent years due to its widespread applications. This article …
A survey on performance metrics for object-detection algorithms
This work explores and compares the plethora of metrics for the performance evaluation of
object-detection algorithms. Average precision (AP), for instance, is a popular metric for …
object-detection algorithms. Average precision (AP), for instance, is a popular metric for …
Machine learning and deep learning
Today, intelligent systems that offer artificial intelligence capabilities often rely on machine
learning. Machine learning describes the capacity of systems to learn from problem-specific …
learning. Machine learning describes the capacity of systems to learn from problem-specific …
Sparse r-cnn: End-to-end object detection with learnable proposals
Abstract We present Sparse R-CNN, a purely sparse method for object detection in images.
Existing works on object detection heavily rely on dense object candidates, such as k anchor …
Existing works on object detection heavily rely on dense object candidates, such as k anchor …
[HTML][HTML] Deep learning in computer vision: A critical review of emerging techniques and application scenarios
Deep learning has been overwhelmingly successful in computer vision (CV), natural
language processing, and video/speech recognition. In this paper, our focus is on CV. We …
language processing, and video/speech recognition. In this paper, our focus is on CV. We …
Object detection in 20 years: A survey
Object detection, as of one the most fundamental and challenging problems in computer
vision, has received great attention in recent years. Over the past two decades, we have …
vision, has received great attention in recent years. Over the past two decades, we have …
The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale
Abstract We present Open Images V4, a dataset of 9.2 M images with unified annotations for
image classification, object detection and visual relationship detection. The images have a …
image classification, object detection and visual relationship detection. The images have a …
Deep learning for generic object detection: A survey
Object detection, one of the most fundamental and challenging problems in computer vision,
seeks to locate object instances from a large number of predefined categories in natural …
seeks to locate object instances from a large number of predefined categories in natural …
A survey of deep learning techniques for autonomous driving
The last decade witnessed increasingly rapid progress in self‐driving vehicle technology,
mainly backed up by advances in the area of deep learning and artificial intelligence (AI) …
mainly backed up by advances in the area of deep learning and artificial intelligence (AI) …
Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network
Recently, several models based on deep neural networks have achieved great success in
terms of both reconstruction accuracy and computational performance for single image …
terms of both reconstruction accuracy and computational performance for single image …