深度学习论文阅读（偏Object Detection）

最新推荐文章于 2025-08-15 15:55:26 发布

原创最新推荐文章于 2025-08-15 15:55:26 发布 · 402 阅读

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本文总结了多种先进的视觉识别技术，包括目标检测、语义分割等领域的经典算法，如Fast R-CNN、Faster R-CNN及YOLO等。探讨了深度学习在提升识别准确性方面的作用，并介绍了几种用于提高实时性的方法。

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Rich feature hierarchies for accurate object detection and semantic segmentation
Fast R-CNN
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
ImageNet Classification with Deep Convolutional Neural Networks
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
You Only Look Once:Unified, Real-Time Object Detection
OverFeat:Integrated Recognition, Localization and Detection using Convolutional Networks
Fully Convolutional Networks for Semantic Segmentation
R-FCN: Object Detection via Region-based Fully Convolutional Networks
Deep Neural Networks for Object Detection
SSD: Single Shot MultiBox Detector
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks

这是前期看的，笔记大部分都在论文上，欢迎交流，有下不到的可以留邮箱。。。。。
后期看的慢慢写