paper: Learning Lightweight Lane Detection CNNs by Self Attention Distillation code: https: github.com cardwing Codes for Lane Detection Abstract 本论文的思路比较清晰，想通过知识蒸馏的方式，用高层的信息来反哺优化低层学习到更准确的信息，而低层学习到的更准 ...
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Learning Lightweight Lane Detection CNNs by Self Attention Distillation 车道线检测 https://github. com/cardwing/Codes-for-Lane-Detection. ...
论文题目：Robust Lane Detection via Expanded Self Attention 链接地址：https://arxiv.org/abs/2102.07037 文章核心想要解决的是车道线遮挡、缺失、模糊等情况下的识别精度问题。主要通过一个自注意力模块，增强网络对于这部 ...
Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification 2021.5.13 Project Page: https://geyixiao.com/projects/bake ...
中心思想 继Relation Network实现可学习的nms之后，MSRA的大佬们觉得目标检测器依然不够fully learnable，这篇文章类似之前的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 &总 ...
相关工作： 将R-CNN推广到RGB-D图像，引入一种新的编码方式来捕获图像中像素的地心姿态，并且这种新的编码方式比单纯使用深度通道有了明显的改进。 我们建议在每个像素上用三个通道编码深度图像：水 ...
Title: Joint Detection and Identification Feature Learning for Person Search; aXiv上该论文的第一个版本题目是 End-to-End Deep Learning for Person Search ...
