[HTML][HTML] Review of image classification algorithms based on convolutional neural networks
L Chen, S Li, Q Bai, J Yang, S Jiang, Y Miao - Remote Sensing, 2021 - mdpi.com
Image classification has always been a hot research direction in the world, and the
emergence of deep learning has promoted the development of this field. Convolutional …
emergence of deep learning has promoted the development of this field. Convolutional …
[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 …
Deep reinforcement learning in computer vision: a comprehensive survey
Deep reinforcement learning augments the reinforcement learning framework and utilizes
the powerful representation of deep neural networks. Recent works have demonstrated the …
the powerful representation of deep neural networks. Recent works have demonstrated the …
[PDF][PDF] 神经网络七十年: 回顾与展望
焦李成， 杨淑媛， 刘芳， 王士刚， 冯志玺 - 计算机学报, 2016 - cjc.ict.ac.cn
Hodykin-Huxley 方程, 感知器模型与自适应滤波器, 再到六十年代的自组织映射网络,
神经认知机, 自适应共振网络, 许多神经计算模型都发展成为信号处理, 计算机视觉 …
神经认知机, 自适应共振网络, 许多神经计算模型都发展成为信号处理, 计算机视觉 …
Deep learning in multi-object detection and tracking: state of the art
Object detection and tracking is one of the most important and challenging branches in
computer vision, and have been widely applied in various fields, such as health-care …
computer vision, and have been widely applied in various fields, such as health-care …
Deep learning for misinformation detection on online social networks: a survey and new perspectives
Recently, the use of social networks such as Facebook, Twitter, and Sina Weibo has
become an inseparable part of our daily lives. It is considered as a convenient platform for …
become an inseparable part of our daily lives. It is considered as a convenient platform for …
Distractor-aware siamese networks for visual object tracking
Recently, Siamese networks have drawn great attention in visual tracking community
because of their balanced accuracy and speed. However, features used in most Siamese …
because of their balanced accuracy and speed. However, features used in most Siamese …
Fuzzy detection aided real-time and robust visual tracking under complex environments
Today, a new generation of artificial intelligence has brought several new research domains
such as computer vision (CV). Thus, target tracking, the base of CV, has been a hotspot …
such as computer vision (CV). Thus, target tracking, the base of CV, has been a hotspot …
Learning correspondence from the cycle-consistency of time
We introduce a self-supervised method for learning visual correspondence from unlabeled
video. The main idea is to use cycle-consistency in time as free supervisory signal for …
video. The main idea is to use cycle-consistency in time as free supervisory signal for …