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 …
A comprehensive survey on tinyml
Recent spectacular progress in computational technologies has led to an unprecedented
boom in the field of Artificial Intelligence (AI). AI is now used in a plethora of research areas …
boom in the field of Artificial Intelligence (AI). AI is now used in a plethora of research areas …
Comparative analysis of deep learning image detection algorithms
S Srivastava, AV Divekar, C Anilkumar, I Naik… - Journal of Big …, 2021 - Springer
A computer views all kinds of visual media as an array of numerical values. As a
consequence of this approach, they require image processing algorithms to inspect contents …
consequence of this approach, they require image processing algorithms to inspect contents …
A survey of deep learning-based object detection
Object detection is one of the most important and challenging branches of computer vision,
which has been widely applied in people's life, such as monitoring security, autonomous …
which has been widely applied in people's life, such as monitoring security, autonomous …
M3d-rpn: Monocular 3d region proposal network for object detection
Understanding the world in 3D is a critical component of urban autonomous driving.
Generally, the combination of expensive LiDAR sensors and stereo RGB imaging has been …
Generally, the combination of expensive LiDAR sensors and stereo RGB imaging has been …
Tools, techniques, datasets and application areas for object detection in an image: a review
J Kaur, W Singh - Multimedia Tools and Applications, 2022 - Springer
Object detection is one of the most fundamental and challenging tasks to locate objects in
images and videos. Over the past, it has gained much attention to do more research on …
images and videos. Over the past, it has gained much attention to do more research on …
A comprehensive and systematic look up into deep learning based object detection techniques: A review
Object detection can be regarded as one of the most fundamental and challenging visual
recognition task in computer vision and it has received great attention over the past few …
recognition task in computer vision and it has received great attention over the past few …
Mini-YOLOv3: real-time object detector for embedded applications
QC Mao, HM Sun, YB Liu, RS Jia - Ieee Access, 2019 - ieeexplore.ieee.org
Real-time scene parsing through object detection running on an embedded device is very
challenging, due to limited memory and computing power of embedded devices. To deal …
challenging, due to limited memory and computing power of embedded devices. To deal …
Bringing AI to edge: From deep learning's perspective
Edge computing and artificial intelligence (AI), especially deep learning algorithms, are
gradually intersecting to build the novel system, namely edge intelligence. However, the …
gradually intersecting to build the novel system, namely edge intelligence. However, the …
CAMRL: A joint method of channel attention and multidimensional regression loss for 3D object detection in automated vehicles
Fully automated vehicles collect information about their road environments to adjust their
driving actions, such as braking and slowing down. The development of artificial intelligence …
driving actions, such as braking and slowing down. The development of artificial intelligence …