The research progress in multimodal learning has grown rapidly over the last decade in several areas, especially in computer vision. The growing potential
文章参考:(34条消息) 机器视觉中使用深度学习所面临的对抗攻击——Survey(上)_Erpim的博客-CSDN博客_对抗攻击 [论文解读]Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey - 菜鸟…
Hyperbolic deep learningComputer visionRepresentation learningrepresentation learning is a ubiquitous part of modern computer vision. While Euclidean space has been the de facto standard manifold for learning visual representations, hyperbolic sp...
[8] S. P. Singh, A. Kumar, H. Darbari, L. Singh, A. Rastogi, and S.Jain, “Machine translation using deep learning: An overview,” in Proceedings of the 1st International Conference on Computer, Communications and Electronics, COMPTELIX 2017, pp. 162–167, India, July 2017. [9] T...
In this paper, by delving into over 200 references, we present a comprehensive survey that covers various aspects of place recognition from deep learning perspective. We first present a brief introduction of deep learning and discuss its opportunities for recognizing places. After that, we focus on...
We focus in this survey on crowd counting via density map estimation. With the development of deep learning approaches in the field of computer vision, counting accuracy has been greatly improved with the use of deep learning-based models as compared with approaches based on handcrafted features....
具体参看Computer vision and deep learning techniques for pedestrian detection and tracking: A survey 异常检测 不关注～ 遥感目标检测 具体参看A survey on object detection in optical re- mote sensing images,以及 其他的领域包括: 车牌识别、自动驾驶、交通信号识别、CAD系统、青光眼检测、神经突触检测、皮肤损...
[paper] [综述]Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey introduction Szegedy[22] 首先发现了深度学习在图像识别的脆弱性,微小的扰动会导致模型分类错误。 第一篇全面的对抗攻击综述 DEFINITIONS OF TERMS Adversarial example/image:修改后的image...
This article aims to provide a comprehensive survey on recent advances of image super-resolution using deep learning approaches. In general, we can roughly group the existing studies of SR techniques into three major categories: supervised SR, unsupervised SR, and domain-specific SR. In addition, ...
论文:A Survey on Deep Learning Techniques for Stereo-based Depth Estimation(基于立体深度估计的深度学习技术综述)论文地址:ieeexplore.ieee.org/abs paper AbstractEstimating depth from RGB images is a long-standing ill-posed problem, which has been explored for decades by the computer vision, graphics,...