Aug 12, 2021 · We propose a Labeling Only if Required strategy, LabOR, where we introduce a human-in-the-loop approach to adaptively give scarce labels to points that a UDA ...
We design a new framework of domain adaptation for semantic segmentation, LabOR, by utilizing a small fraction of pixel-level labels with an adaptive human- in- ...
We design a new framework of domain adaptation for semantic segmentation, LabOR, by utilizing a small fraction of pixel-level labels with an adaptive human- in- ...
A Labeling Only if Required strategy, LabOR is proposed, where a human-in-the-loop approach is introduced to adaptively give scarce labels to points that a UDA ...
We propose a Labeling Only if Required strategy, LabOR, where we introduce a human-in-the-loop approach to adaptively give scarce labels to points that a UDA ...
Sep 7, 2024 · This reduces efforts from 2.2% segment label to 40 points label while minimizing performance degradation. Through extensive experimentation, we ...
Dec 10, 2024 · ... In this work, we present a method to close the domain gap by using active domain adaptation that is conceptually simple and demands a low ...
We propose a novel framework for domain adaptation in semantic segmentation with image-level weak labels in the target domain.
Missing: LabOR: if
Labor: Labeling only if required for domain adaptive semantic segmentation. In. Proceedings of the IEEE/CVF International Conference on. Computer Vision ...
Nov 28, 2024 · The key idea of LabOR (label only if required) is to train ... Labor: Labeling only if required for domain adaptive semantic segmentation.