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1 小目標檢測:
綜述:
綜述論文Augmentation for small object detection
深度學習筆記(十)Augmentation for small object detection(翻譯)
吳建明wujianning:小目標檢測的增強算法
機器之心:什么是小樣本學習?這篇綜述文章用166篇參考文獻告訴你答案
2 目標檢測
論文追蹤:https://github.com/amusi/awesome-object-detection
綜述文章:
1) Object Detection in 20 Years: A Survey
論文下載:https://arxiv.org/abs/1905.05055
論文閱讀:論文筆記-2019-Object Detection in 20 Years: A Survey
2)A Survey of Deep Learning-based Object Detection
論文下載:https://arxiv.org/abs/1907.09408
論文閱讀:墨仆:讀 A Survey of Deep Learning-based Object Detection
3)Recent Advances in Deep Learning for Object Detection
論文下載:https://arxiv.org/abs/1908.03673
論文閱讀:一個啥都不會的程序猿:目標檢測綜述-Deep Learning for Object Detection(一)
4)Deep Learning for Generic Object Detection: A Survey
論文下載:Deep Learning for Generic Object Detection: A Survey
論文閱讀:Deep Learning for Generic Object Detection: A Survey -- 目標檢測綜述總結
跑者小越:私藏多年的目標檢測好文分享 (不收藏血虧)
3 數據增強
chaser:A survey on Image Data Augmentation 數據增強文獻綜述CrazyVertigo:數據增強方法CrazyVertigo:GridMask Data Augmentationhttps://github.com/CrazyVertigo/awesome-data-augmentationTom Hardy:匯總|目標檢測中的數據增強、backbone、head、neck、損失函數4 卷積神經網絡
1)
論文地址:https://arxiv.org/abs/1803.08834
94頁論文綜述卷積神經網絡:從基礎技術到研究前景
2)A Survey of the Recent Architectures of Deep Convolutional Neural Networks
論文閱讀:Deep learning_CNN_Review:A Survey of the Recent Architectures of Deep Convolutional Neural Networks--2019
論文下載:A Survey of the Recent Architectures of Deep Convolutional Neural Networks
5 類別不均衡
ChenJoya:Imbalance Problems in Object Detection: A Review
https://github.com/kemaloksuz/ObjectDetectionImbalance
鑫鑫淼淼焱焱:類別不平衡學習資源推薦
ZhiningLiu1998/awesome-imbalanced-learning
6 關于深度學習優化方法
1)https://mp.weixin.qq.com/s/hbJjWah8pzT3PskwqTCUkQ
2)鏈接:https://pan.baidu.com/s/1DCQYTfG5deU4zTIrJcuLSQ 密碼:x22d
7 NMS
Adaptive NMS: Refining Pedestrian Detection in a Crowd
論文閱讀:論文閱讀2(CVPR2019):Adaptive NMS:Refining Pedestrian Detection in a Crowd
論文下載:Adaptive NMS: Refining Pedestrian Detection in a Crowd
8 模型訓練
1) Bag of Freebies for Training Object Detection Neural Networks
論文下載:Bag of Freebies for Training Object Detection Neural Networks
論文閱讀:
李沐等將目標檢測絕對精度提升 5%,不犧牲推理速度9 目標檢測中attention
1)Relation Networks for Object Detection
論文閱讀:Relation Networks for Object Detection算法筆記
論文下載;Relation Networks for Object Detection
10)IoU
CrazyVertigo:目標檢測回歸損失函數簡介:SmoothL1/IoU/GIoU/DIoU/CIoU Loss11)模型加速
CrazyVertigo:【模型壓縮和加速】inception/mobilenet/squeezenet/shuffle簡楓:一文看懂深度學習模型壓縮和加速12)實驗效率及可視化
LiuFG:提高DL實驗效率神器初體驗-fitlog/nni/determind13)小目標學習
14)目標檢測tricks
https://zhuanlan.zhihu.com/p/141878389
初識CV:目標檢測比賽中的tricks(已更新更多代碼解析)roger:目標檢測中的Tricks未完待續!!!
原文鏈接:https://zhuanlan.zhihu.com/p/136206896 創作挑戰賽新人創作獎勵來咯,堅持創作打卡瓜分現金大獎總結
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