Learning Lightweight Lane Detection CNNs by Self Attention Distillation 車道線檢測 https://github. com/cardwing/Codes-for-Lane-Detection. ...
paper: Learning Lightweight Lane Detection CNNs by Self Attention Distillation code: https: github.com cardwing Codes for Lane Detection Abstract 本論文的思路比較清晰,想通過知識蒸餾的方式,用高層的信息來反哺優化低層學習到更准確的信息,而低層學習到的更准 ...
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Learning Lightweight Lane Detection CNNs by Self Attention Distillation 車道線檢測 https://github. com/cardwing/Codes-for-Lane-Detection. ...
論文題目:Robust Lane Detection via Expanded Self Attention 鏈接地址:https://arxiv.org/abs/2102.07037 文章核心想要解決的是車道線遮擋、缺失、模糊等情況下的識別精度問題。主要通過一個自注意力模塊,增強網絡對於這部 ...
Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification 2021.5.13 Project Page: https://geyixiao.com/projects/bake ...
中心思想 繼Relation Network實現可學習的nms之后,MSRA的大佬們覺得目標檢測器依然不夠fully learnable,這篇文章類似之前的Deformable ROI Poolin ...
Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks 2021.5.12 Under review https://arxiv.org/abs/2105.02358 ...
/Zhang_Object_Detection_With_Location-Aware_Deformable_Convolution_and_Backward_Attention_Filtering_CVPR_2019_paper.pdf &總 ...
相關工作: 將R-CNN推廣到RGB-D圖像,引入一種新的編碼方式來捕獲圖像中像素的地心姿態,並且這種新的編碼方式比單純使用深度通道有了明顯的改進。 我們建議在每個像素上用三個通道編碼深度圖像:水 ...
Title: Joint Detection and Identification Feature Learning for Person Search; aXiv上該論文的第一個版本題目是 End-to-End Deep Learning for Person Search ...