How Semantic Segmentation works part1(Machine Learning)
1.Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning (arXiv) Author : Liwei Yang, Xiang Gu, Jian Sun Abstract : Deep networks trained on the source domain show degraded performance when tested on unseen target domain data. To enhance the model’s generalization ability, most existing domain generalization…
How Semantic Segmentation works part1(Machine Learning) 1.Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning (arXiv) Author : Liwei Yang, Xiang Gu, Jian Sun Abstract : Deep networks trained on the source domain show degraded performance when tested on unseen target domain data. To enhance the model’s generalization ability, most existing domain generalization… deep-learning
Semantic Segmentation work part1Machine Learning 1Generalized Semantic Segmentation SelfSupervised Source Domain Projection MultiLevel Contrastive Learning arXiv Author Liwei Yang Xiang Gu Jian Sun Abstract Deep network trained source domain show degraded performance tested unseen target domain data enhance model’s generalization ability existing domain generalization… deeplearning