May 27, 2024 · In this paper, we introduce a novel approach, called Difference-aware Distillation, to address this limitation. ... With the features jointly ...
May 27, 2024 · In this paper, we introduce a novel approach, called Difference-aware Distillation, to address this limitation. ... With the features jointly ...
People also ask
Which CNN model is best for semantic segmentation?
What is the difference between semantic segmentation?
Our experimental evaluation on three datasets, Cityscapes, Pascal2012, and ADE20 K, demonstrates our proposed approach outperforms several baselines considered.
Mar 26, 2022 · We propose a novel distillation framework, Uncertainty-aware Contrastive Distillation (\method). In a nutshell, \method~is operated by introducing a novel ...
It has been shown that jointly reasoning the 2D appear- ance and 3D information from RGB-D domains is beneficial to indoor scene semantic segmentation.
Instance-based semantic segmentation provides detailed per-pixel scene understanding information crucial for both computer vision and robotics applications.
Aug 20, 2024 · RDD allows the teacher network to provide effective guidance on learning focus without additional optimization goals, thus avoiding adjusting learning weights ...
Missing: Difference- | Show results with:Difference-
Jan 24, 2024 · The key difference between these three types of architectures is the approach used for feature extraction and how the extracted feature maps are ...
In this paper, we propose a novel semantic-aware knowledge distillation scheme to solve these problems. We build a standalone feature-based classification ...
It has been shown that jointly reasoning the 2D appear- ance and 3D information from RGB-D domains is beneficial to indoor scene semantic segmentation.