Hierarchical Instance Mixing Across Domains in Aerial Segmentation
Author:
Affiliation:
1. Dipartimento di Automatica e Informatica (DAUIN), Politecnico di Torino, Turin, Italy
2. AI, Data and Space (ADS), Links Foundation, Turin, Italy
Funder
Horizon 2020 Project Structured Approaches for Forest fire Emergencies in Resilient Societies
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10040637.pdf?arnumber=10040637
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2. LoveDA: A remote sensing land-cover dataset for domain adaptive semantic segmentation;wang;Proc Adv Neural Inform Process Syst (NIPS),2021
3. DACS: Domain Adaptation via Cross-domain Mixed Sampling
4. Semi-supervised Domain Adaptation based on Dual-level Domain Mixing for Semantic Segmentation
5. Augmentation Invariance and Adaptive Sampling in Semantic Segmentation of Agricultural Aerial Images
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