Recent Advances of Generic Object Detection with Deep Learning: A Review Object detection is an important and challenging problem in computer vision. It has been widely applied in many vision tasks, such as object tracking, image segmentation, action recognition, etc. With the rapid development of...
Compared with traditional handcrafted feature-based methods, the deep learning-based object detection methods can learn both low-level and high-level image features. The image features learned through deep learning techniques are more representative than the handcrafted features. Therefore, this review ...
With the rapid advancement of convolutional neural networks (CNNs) in deep learning, some deep learning-based small object detection methods have sprung up. However, there are relatively few surveys and researches focusing only on small object detection. Most of the state-of-the-art methods are ...
we design a Multi-scale Deconvolutional Single Shot Detector (MDSSD), especially for small object detection. In MDSSD, multiple high-level feature maps at different scales are upsampled simultaneously to increase the spatial resolution. Afterwards, we implement the skip connections with low-level featu...
论文名称:A Survey of Deep Learning-Based Object Detection 翻译 ABSTRACTObject 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 driving and so on, with the purpose of locating...
A deep learning-based method, improved YOLOv3 algorithm is proposed in the deep learning environment to tackle challenges such as big scale, uneven distrib... T Yang,J Li - 《Journal of Circuits Systems & Computers》 被引量: 0发表: 2023年 A Review: Remote Sensing Image Object Detection Alg...
In this paper, we give a comprehensive survey of recent advances in visual object detection with deep learning. By reviewing a large body of recent related work in literature, we systematically analyze the existing object detection frameworks and organize the survey into three major parts: (i) ...
Hierarchical Object Detection with Deep Reinforcement Learning NIPS 2016 WorkShop Paper :https://arxiv.org/pdf/1611.03718v1.pdf Project Page :https://github.com/imatge-upc/detection-2016-nipsws 摘要:我们提出一种基于深度强化学习的等级物体检测方法 (Hierarchical Object Detection). 关键点在于: 专注于...
Imbalance Problems in Object Detection: A Reviewhttps://github.com/kemaloksuz/ObjectDetectionImbalance,作者总结了在目标检测领域关于不平衡的大量研究,从古老的Bootstrapping到现在的Libra R-CNN,并且在不平衡的各个维度上列出了相关文献,大而全,值得大力关注。
A systematic review of image-level camouflaged object detection with deep learning CODNeucom 2024. [Paper]Jan. 2024Rethinking Camouflaged Object Detection: Models and Datasets COD TCSVT 2021. [Paper]Nov. 2021Advancements in Optimization Algorithms for Lung Nodule Detection and Classification: A Review ...