DG | Domain Generalization in Vision: A Survey DG | Generalizing to Unseen Domains: A Survey on Domain Generalization OODG | Towards Out-Of-Distribution Generalization: A Survey OODD | Generalized Out-of-Distribution Detection: A Survey OS | Open Set Domain Adaptation ...
Ensemble learning集成学习, which relies on the power of ensemble to learn a unified and generalized predictive function; b). Meta-learning元学习, which is based on the learning-to-learn mechanism to learn general knowledge by constructing meta-learning tasks to simulate domain shift; c). ...
既然是为了解决类与类之间的决策边界不明显的问题,那么我在分割中引入更多的显式类信息不就好了,所以作者的论文题目叫Semantic-Aware。所谓semantic,说白了就是类。semantic-aware说人话就是有较为明确的目标类信息给你支撑分割。 但是分割前,哪里来的显式类信息,答曰:伪标签 那么作者是怎么显式引入目标类信息的了。
论文标题: Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation 论文地址:https://arxiv.org/pdf/2312.04265.pdf 代码:https://github.com/w1oves/Rein.git 发表于:CVPR 2024 作者起名的一些巧思: rein 缰绳 harness 驾驭 harness vision foundation model ...
Survey papers Domain Generalization: A Survey Zhou, Kaiyang, Ziwei Liu, Yu Qiao, Tao Xiang, and Chen Change Loy. arXiv preprint arXiv:2103.02503(2021). Generalizing to Unseen Domains: A Survey on Domain Generalization Wang, Jindong, Cuiling Lan, Chang Liu, Yidong Ouyang, Wenjun Zeng, and ...
Strong butSimple: A Baseline forDomain Generalized Dense Perception byCLIP-Based Transfer Learning Domain generalization (DG) remains a significant challenge for perception based on deep neural networks (DNNs), where domain shifts occur due to synthetic ... C Hümmer,M Schwonberg,L Zhou,... - ...
In this paper, we tackle the problem of domain generalization: how to learn a generalized feature representation for an "unseen" target domain by taking the advantage of multiple seen source-domain data. We present a novel framework based on adversarial autoencoders to learn a generalized latent...
Rein is a efficient and robust fine-tuning method, specifically developed to effectively utilizeVision Foundation Models (VFMs)forDomain Generalized Semantic Segmentation (DGSS). It achievesSOTA on Cityscapes to ACDC, and GTAV to Cityscapes+Mapillary+BDD100K. Using only synthetic data, Rein achieved ...
Let B(E,F) be the set of all bounded linear operators from a Banach space E into another Banach space F,B^+(E, F) the set of all double splitting operators in B(E, F)and GI(A) the set of generalized inverses of A ∈ B^+(E, F). In this paper we introduce an unbounded ...
The optimization problem of SCA can be reduced to a generalized eigenvalue problem, which results in a fast and exact solution. Comprehensive experiments on benchmark cross-domain object recognition datasets verify that SCA performs much faster than several state-of-the-art algorithms and also ...