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Oct, 2021
多领域增量学习用于语义分割
Multi-Domain Incremental Learning for Semantic Segmentation
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Prachi Garg, Rohit Saluja, Vineeth N Balasubramanian, Chetan Arora, Anbumani Subramanian...
TL;DR
提出了基于动态架构并采用优化策略的多领域语义分割增量学习方法,旨在解决现有分割框架在视觉地理领域差异大的数据集序列中无法迭代学习的问题。实验结果验证了该方法在德国 (Cityscapes)、美国 (BDD100k) 和印度 (IDD) 道路驾驶环境中实现了良好的增量学习效果。
Abstract
Recent efforts in
multi-domain learning
for
semantic segmentation
attempt to learn multiple geographical datasets in a universal, joint model. A simple fine-tuning experiment performed sequentially on three popul
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