文末有福利!
前言
无论是做计算机视觉还是做自然语言处理,无论是做传统的机器学习还是做深度学习,都会免不了和机器学习库打交道,其中就有numpy、tensorflow、scipy、keras、matplotlib等,如果我们想使用一项功能,却不知道里面有没有该怎么办?去官方文档查询速度会很慢,而且有很多多余的语言描述,效率必然很低,如果有一个速查表就会极大的提高效率。
此外,这几年人工智能如雨后春笋一样,出现了很多优秀的卷积神经网络模型,我们该怎么学习?该从哪里获取源码和资源?这也是困扰很多人的问题,今天我们就一个一个来说一下。
资源
- cheatsheets-ai
- deep_learning_object_detection
cheatsheets-ai
- cheatsheets-ai
Github地址:https://github.com/kailashahirwar/cheatsheets-ai
- deep_learning_object_detection
Github地址:https://github.com/hoya012/deep_learning_object_detection
图中标红的是作者认为必读的文章,涉及R-CNN、OverFeat、SSD、YOLO等计算机视觉领域优秀的网络模型。
整理了从2014年到2019年之间的所有计算机视觉领域优秀的文章。
2014 年
R-CNN
Rich feature hierarchies for accurate object detection and semantic segmentation | Ross Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik | [CVPR’ 14]
https://arxiv.org/pdf/1311.2524.pdf
代码 Caffe:
https://github.com/rbgirshick/rcnn
OverFeat
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks | Pierre Sermanet, et al. | [ICLR’ 14]
https://arxiv.org/pdf/1312.6229.pdf
代码 Torch:
https://github.com/sermanet/OverFeat
2015 年
Fast R-CNN
Fast R-CNN | Ross Girshick | [ICCV’ 15]
https://arxiv.org/pdf/1504.08083.pdf
代码 caffe:
https://github.com/rbgirshick/fast-rcnn
Faster R-CNN
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks | Shaoqing Ren, et al. | [NIPS’ 15]
https://papers.nips.cc/paper/5638-faster-r-cnn-towards-real-time-object-detection-with-region-proposal-networks.pdf
代码 caffe:
https://github.com/rbgirshick/py-faster-rcnn
代码 tensorflow:
https://github.com/endernewton/tf-faster-rcnn
代码 pytorch:
https://github.com/jwyang/faster-rcnn.pytorch
2016 年
OHEM
Training Region-based Object Detectors with Online Hard Example Mining | Abhinav Shrivastava, et al. | [CVPR’ 16]
https://arxiv.org/pdf/1604.03540.pdf
代码 caffe:
https://github.com/abhi2610/ohem
YOLO v1
You Only Look Once: Unified, Real-Time Object Detection | Joseph Redmon, et al. | [CVPR’ 16]
https://arxiv.org/pdf/1506.02640.pdf
代码 c:
https://pjreddie.com/darknet/yolo/
SSD
Single Shot MultiBox Detector | Wei Liu, et al. | [ECCV’ 16]
https://arxiv.org/pdf/1512.02325.pdf
代码 caffe:
https://github.com/weiliu89/caffe/tree/ssd
代码 tensorflow:
https://github.com/balancap/SSD-Tensorflow
代码 pytorch:
https://github.com/amdegroot/ssd.pytorch
R-FCN
Object Detection via Region-based Fully Convolutional Networks | Jifeng Dai, et al. | [NIPS’ 16]
https://arxiv.org/pdf/1605.06409.pdf
代码 caffe:
https://github.com/daijifeng001/R-FCN
代码 caffe:
https://github.com/YuwenXiong/py-R-FCN
2017 年
YOLO v2
Better, Faster, Stronger | Joseph Redmon, Ali Farhadi | [CVPR’ 17]
https://arxiv.org/pdf/1612.08242.pdf
代码 c:
https://pjreddie.com/darknet/yolo/
代码 caffe:
https://github.com/quhezheng/caffe_yolo_v2
代码 tensorflow:
https://github.com/nilboy/tensorflow-yolo
代码 tensorflow:
https://github.com/sualab/object-detection-yolov2
代码 pytorch:
https://github.com/longcw/yolo2-pytorch
FPN
Feature Pyramid Networks for Object Detection | Tsung-Yi Lin, et al. | [CVPR’ 17]
http://openaccess.thecvf.com/content_cvpr_2017/papers/Lin_Feature_Pyramid_Networks_CVPR_2017_paper.pdf
代码 caffe:
https://github.com/unsky/FPN
RetinaNet
Focal Loss for Dense Object Detection | Tsung-Yi Lin, et al. | [ICCV’ 17]
https://arxiv.org/pdf/1708.02002.pdf
代码 keras:
https://github.com/fizyr/keras-retinanet
代码 pytorch:
https://github.com/kuangliu/pytorch-retinanet
代码 mxnet:
https://github.com/unsky/RetinaNet
代码 tensorflow:
https://github.com/tensorflow/tpu/tree/master/models/official/retinanet
Mask R-CNN
Kaiming He, et al. | [ICCV’ 17]
http://openaccess.thecvf.com/content_ICCV_2017/papers/He_Mask_R-CNN_ICCV_2017_paper.pdf
代码 caffe2:
https://github.com/facebookresearch/Detectron
代码 tensorflow:
https://github.com/matterport/Mask_RCNN
代码 tensorflow:
https://github.com/CharlesShang/FastMaskRCNN
代码 pytorch:
https://github.com/multimodallearning/pytorch-mask-rcnn
2018 年
YOLO v3
An Incremental Improvement | Joseph Redmon, Ali Farhadi | [arXiv’ 18]
https://pjreddie.com/media/files/papers/YOLOv3.pdf
代码 c:
https://pjreddie.com/darknet/yolo/
代码 pytorch:
https://github.com/ayooshkathuria/pytorch-yolo-v3
代码 pytorch:
https://github.com/eriklindernoren/PyTorch-YOLOv3
代码 keras:
https://github.com/qqwweee/keras-yolo3
代码 tensorflow:
https://github.com/mystic123/tensorflow-yolo-v3
RefineDet
Single-Shot Refinement Neural Network for Object Detection | Shifeng Zhang, et al. | [CVPR’ 18]
http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhang_Single-Shot_Refinement_Neural_CVPR_2018_paper.pdf
代码 caffe:
https://github.com/sfzhang15/RefineDet
代码 chainer:
https://github.com/fukatani/RefineDet_chainer
代码 pytorch:
https://github.com/lzx1413/PytorchSSD
2019 年
M2Det
A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network | Qijie Zhao, et al. | [AAAI’ 19]
https://arxiv.org/pdf/1811.04533.pdf
我整理了计算机视觉、强化学习相关的优秀文章,优秀书籍中英文电子版、源码等,如果需要可以关注微信公众号"平凡而诗意",回复相应关键字获取。
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