Multi-source Pseudo-label Learning of Semantic Segmentation for the Scene Recognition of Agricultural Mobile Robots

12 February 2021

Papers citing "Multi-source Pseudo-label Learning of Semantic Segmentation for the Scene Recognition of Agricultural Mobile Robots"

7 / 7 papers shown

Title
Multi-Source Soft Pseudo-Label Learning with Domain Similarity-based Weighting for Semantic Segmentation Shigemichi Matsuzaki Hiroaki Masuzawa Jun Miura 52 5 0 02 Mar 2023
DeepIPC: Deeply Integrated Perception and Control for an Autonomous Vehicle in Real Environments Oskar Natan J. Miura 29 1 0 20 Jul 2022
Image-based scene recognition for robot navigation considering traversable plants and its manual annotation-free training Shigemichi Matsuzaki Hiroaki Masuzawa J. Miura 24 11 0 02 Aug 2021
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation Zhedong Zheng Yi Yang NoLa 188 497 0 08 Mar 2020
Confidence Regularized Self-Training Yang Zou Zhiding Yu Xiaofeng Liu B. Kumar Jinsong Wang 230 789 0 26 Aug 2019
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello SSeg 230 2,056 0 07 Jun 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 446 15,637 0 02 Nov 2015