细粒度：SPS论文笔记——Stochastic Partial Swap：Enhanced Model Generalization and Interpretability

细粒度：SPS论文笔记——Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-grained Recognition
综述主要思想方法网络结构随机部分交换
实验分析可视化分析
总结

SPS源码笔记：https://blog.csdn.net/qq_50001789/article/details/122161606

综述

论文题目：《Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-grained Recognition》 会议时间：IEEE International Conference on Computer Vision 2021

细粒度：SPS论文笔记——Stochastic Partial Swap：Enhanced Model Generalization and Interpretability最先出现在Python成神之路。