Preserving Label-Related Domain-Specific Information for Cross-Domain Semantic Segmentation
Unsupervised domain adaptation semantic segmentation (UDASS) methods aim to learn
domain-invariant information for alleviating the distribution shift problem between the source …
domain-invariant information for alleviating the distribution shift problem between the source …
OTCLDA: Optimal Transport and Contrastive Learning for Domain Adaptive Semantic Segmentation
Unsupervised domain adaptive (UDA) semantic segmentation aims to assign a
predetermined semantic label to every single pixel of the unannotated target data by …
predetermined semantic label to every single pixel of the unannotated target data by …
Language-Guided Instance-Aware Domain-Adaptive Panoptic Segmentation
The increasing relevance of panoptic segmentation is tied to the advancements in
autonomous driving and AR/VR applications. However, the deployment of such models has …
autonomous driving and AR/VR applications. However, the deployment of such models has …
[PDF][PDF] Unsupervised Domain Adaptation in Panoptic Segmentation: Unsupervised Adaptive Panoptic Segmentation with Language Guidance and Instance-Aware …
EA Mansour - 2024 - research-collection.ethz.ch
The increasing relevance of panoptic segmentation is tied to the advancements in
autonomous driving and AR/VR applications. However, the deployment of such models has …
autonomous driving and AR/VR applications. However, the deployment of such models has …
CaLoRAify: Calorie Estimation with Visual-Text Pairing and LoRA-Driven Visual Language Models
D Yao, K Yao, J Zhou, Y Zhang - arXiv preprint arXiv:2412.09936, 2024 - arxiv.org
The obesity phenomenon, known as the heavy issue, is a leading cause of preventable
chronic diseases worldwide. Traditional calorie estimation tools often rely on specific data …
chronic diseases worldwide. Traditional calorie estimation tools often rely on specific data …
Self-Training Based Instance Calibration for Unsupervised Domain Adaptation Semantic Segmentation of Remote Sensing Images
M Ai, X Wang - Proceedings of the 2024 8th International Conference …, 2024 - dl.acm.org
Self-training based unsupervised domain adaptation approaches play a pivotal role in
mitigating the domain shift and improving the segmentation performance of the target …
mitigating the domain shift and improving the segmentation performance of the target …