Deep neural networks (DNNs) have proven explicit contributions in making autonomous driving cars and related tasks such as semantic segmentation, motion tr
In this paper, we introduce a method to tackle Domain Generalized Semantic Segmentation (DGSS) by utilizing domain-invariant semantic knowledge from text embeddings of vision-language models. We employ the text embeddings as object queries within a transformer-based segmentation framework (textual object...
Domain Generalized Semantic Segmentation (DGSS) deals with training a model on a labeled source domain with the aim of generalizing to unseen domains during inference. Existing DGSS methods typically effectuate robust features by means of Domain Randomization (DR). Such an approach is often limited ...
This repository contains the code for the paper: Collaborating Foundation models for Domain Generalized Semantic Segmentation.OverviewDomain Generalized Semantic Segmentation (DGSS) deals with training a model on a labeled source domain with the aim of generalizing to unseen domains during inference. Existi...
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 ...
Learning generalized visual relations for domain generalization semantic segmentation A generalized visual relation learning approach is proposed for DGSS.This work aims to learn domain-invariant inter-class relations.This work aims to learn... Z Li,M Liao - 《Expert Systems with Applications》 被引量...
We propose a novel perspective that encourages learning distinct representation.An adaptive style randomization module is proposed to generate stylized images.The proposed method improves the generalization and discrimination ability of models.The proposed method gains superior performance on multiple DGSS bench...
Learning generalized visual relations for domain generalization semantic segmentation A generalized visual relation learning approach is proposed for DGSS.This work aims to learn domain-invariant inter-class relations.This work aims to learn... Z Li,M Liao - 《Expert Systems with Applications》 被引量...
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 ...