[HTML][HTML] Autonomous driving architectures: insights of machine learning and deep learning algorithms
MR Bachute, JM Subhedar - Machine Learning with Applications, 2021 - Elsevier
Abstract Research in Autonomous Driving is taking momentum due to the inherent
advantages of autonomous driving systems. The main advantage being the disassociation …
advantages of autonomous driving systems. The main advantage being the disassociation …
Recent advances in deep learning for object detection
Object detection is a fundamental visual recognition problem in computer vision and has
been widely studied in the past decades. Visual object detection aims to find objects of …
been widely studied in the past decades. Visual object detection aims to find objects of …
Towards large-scale small object detection: Survey and benchmarks
With the rise of deep convolutional neural networks, object detection has achieved
prominent advances in past years. However, such prosperity could not camouflage the …
prominent advances in past years. However, such prosperity could not camouflage the …
A review of object detection based on deep learning
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possible between the training data and outputs, where each training data will predict as a …
possible between the training data and outputs, where each training data will predict as a …
Imbalance problems in object detection: A review
In this paper, we present a comprehensive review of the imbalance problems in object
detection. To analyze the problems in a systematic manner, we introduce a problem-based …
detection. To analyze the problems in a systematic manner, we introduce a problem-based …
Object detection with deep learning: A review
Due to object detection's close relationship with video analysis and image understanding, it
has attracted much research attention in recent years. Traditional object detection methods …
has attracted much research attention in recent years. Traditional object detection methods …
Crowdhuman: A benchmark for detecting human in a crowd
Human detection has witnessed impressive progress in recent years. However, the
occlusion issue of detecting human in highly crowded environments is far from solved. To …
occlusion issue of detecting human in highly crowded environments is far from solved. To …
An analysis of scale invariance in object detection snip
An analysis of different techniques for recognizing and detecting objects under extreme
scale variation is presented. Scale specific and scale invariant design of detectors are …
scale variation is presented. Scale specific and scale invariant design of detectors are …