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📚 计算机视觉相关论文整理、记录

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2019目标检测进展综述：Recent Advances in Deep Learning for Object Detection.md
2019目标检测进展综述：Recent Advances in Deep Learning for Object Detection.md
 
 
AlexNet：ImageNet Classification with Deep ConvolutionalNeural Networks.md
AlexNet：ImageNet Classification with Deep ConvolutionalNeural Networks.md
 
 
Cascade R-CNN：Delving into High Quality Object Detection.md
Cascade R-CNN：Delving into High Quality Object Detection.md
 
 
EAST：An Efficient and Accurate Scene Text Detector.md
EAST：An Efficient and Accurate Scene Text Detector.md
 
 
FCOS：Fully Convolutional One-Stage Object Detection.md
FCOS：Fully Convolutional One-Stage Object Detection.md
 
 
Fast R-CNN.md
Fast R-CNN.md
 
 
Faster R-CNN：Towards Real-Time Object.md
Faster R-CNN：Towards Real-Time Object.md
 
 
Feature Pyramid Networks for Object Detection.md
Feature Pyramid Networks for Object Detection.md
 
 
Inception v1(GoogleNet)：Going deeper with convolutions.md
Inception v1(GoogleNet)：Going deeper with convolutions.md
 
 
MobileNetV1：Efficient Convolutional Neural Networks for Mobile Vision Applications.md
MobileNetV1：Efficient Convolutional Neural Networks for Mobile Vision Applications.md
 
 
MobileNetV2：Inverted Residuals and Linear Bottlenecks.md
MobileNetV2：Inverted Residuals and Linear Bottlenecks.md
 
 
OHEM：Training Region-based Object Detectors with Online Hard Example Mining（待完成）.md
OHEM：Training Region-based Object Detectors with Online Hard Example Mining（待完成）.md
 
 
R2CNN-Rotational-Region-CNN-for-Orientation-Robust-Scene-Text-Detection.md
R2CNN-Rotational-Region-CNN-for-Orientation-Robust-Scene-Text-Detection.md
 
 
README.md
README.md
 
 
RRPN：Arbitrary-Oriented Scene Text Detection via Rotation Proposals.md
RRPN：Arbitrary-Oriented Scene Text Detection via Rotation Proposals.md
 
 
ResNeXt：Aggregated Residual Transformations for Deep Neural Networks.md
ResNeXt：Aggregated Residual Transformations for Deep Neural Networks.md
 
 
RetinaNet：Focal Loss for Dense Object Detection.md
RetinaNet：Focal Loss for Dense Object Detection.md
 
 
SSD：Single Shot MultiBox Detector.md
SSD：Single Shot MultiBox Detector.md
 
 
YOLOv1：You Only Look Once Unified, Real Time Object Detection.md
YOLOv1：You Only Look Once Unified, Real Time Object Detection.md
 
 
YOLOv2（YOLO9000）：Better，Faster，Stronger.md
YOLOv2（YOLO9000）：Better，Faster，Stronger.md
 
 
YOLOv3：An Incremental Improvement.md
YOLOv3：An Incremental Improvement.md
 
 
[mmdet]Open MMLab Detection Toolbox and Benchmark.md
[mmdet]Open MMLab Detection Toolbox and Benchmark.md
 
 
[mmdetection]Open MMLab Detection Toolbox and Benchmark.md
[mmdetection]Open MMLab Detection Toolbox and Benchmark.md
 
 
【2013】Image Classification的一些trick.md
【2013】Image Classification的一些trick.md
 
 
【2013，TTA】Image Classification的一些trick.md
【2013，TTA】Image Classification的一些trick.md
 
 
【各种卷积】分组卷积、深度可分离卷积.md
【各种卷积】分组卷积、深度可分离卷积.md
 
 
【基本概念】anchor.md
【基本概念】anchor.md
 
 
【基本概念】reception field（感受野）.md
【基本概念】reception field（感受野）.md
 
 
【论文笔记模板】.md
【论文笔记模板】.md
 
 

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CV_Paper

计算机视觉相关论文整理、记录，包括图像分类、目标检测、人脸识别、场景文本检测、OCR、遥感图像检测等领域

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