Aug 21, 2022 · In this paper, we present a novel approach for cross-domain semantic segmentation. Specifically, we propose a kernel-based channel attention ( ...
In this paper, we present a novel approach for cross-domain semantic segmentation. Specifically, we propose a kernel-based channel attention (KCA) module and a ...
Exploring more concentrated and consistent activation regions for cross-domain semantic segmentation - Liao, Muxin, Hua, Guoguang, Tian, Shishun, Zhang, ...
摘要. The cross-domain semantic segmentation in urban scenes is challenging due to the gap between the source and the targe.
Exploring more concentrated and consistent activation regions for cross-domain semantic segmentation. Neurocomputing 500: 938-948 (2022); 2020. [j3]. view.
People also ask
What is the best model for semantic segmentation?
How to do semantic segmentation using deep learning?
What is semantic segmentation in computer vision?
Nov 27, 2022 · Due to this gap, the transformer attends to spurious regions or pixels, which deteriorates accuracy on the target domain. We propose to perform ...
Missing: activation | Show results with:activation
further exclude the occlusion region in P1 during the temporal-augmented consistency learning. Specifically, the occlusion region O ∈ RH×W is defined as: O ...
Exploring more concentrated and consistent activation regions for cross-domain semantic segmentation. M Liao, G Hua, S Tian, Y Zhang, W Zou, X Li.
Exploring More Concentrated and Consistent Activation Regions for Cross-domain Semantic Segmentation ... regions of the KCA feature between the two domains ...
While transformers have greatly boosted performance in semantic segmentation, domain adaptive transformers are not yet well explored.