2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 2 cited
Viewpoint Integration and Registration with Vision Language Foundation Model for Image Change Understanding
Xiaonan Lu, Jianlong Yuan, Ruigang Niu +2
Recently, the development of pre-trained vision language foundation models (VLFMs) has led to remarkable performance in many tasks. However, these models tend to have strong single…
cs.CV2023
Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation
Chaohui Yu, Qiang Zhou, Jingliang Li +3
Modern incremental learning for semantic segmentation methods usually learn new categories based on dense annotations. Although achieve promising results, pixel-by-pixel labeling i…
cs.CV2022★ 1 cited
FAKD: Feature Augmented Knowledge Distillation for Semantic Segmentation
Jianlong Yuan, Qian Qi, Fei Du +3
In this work, we explore data augmentations for knowledge distillation on semantic segmentation. To avoid over-fitting to the noise in the teacher network, a large number of traini…