Multi-modal unsupervised domain adaptation for semantic image segmentation

SELMA: SEmantic Large-Scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints

(2023) Paolo Testolina et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Multi-Granularity Episodic Contrastive Learning for Few-Shot Learning

(2022) Pengfei Zhu et al.   PATTERN RECOGNITION

SELF-LLP: Self-supervised learning from label proportions with self-ensemble

(2022) Jiabin Liu et al.   PATTERN RECOGNITION

Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation

(2021) Zhedong Zheng et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

CANet: Co-attention network for RGB-D semantic segmentation

(2021) Hao Zhou et al.   PATTERN RECOGNITION

Deep multimodal fusion for semantic image segmentation: A survey

(2020) Yifei Zhang et al.   IMAGE AND VISION COMPUTING

Simplified unsupervised image translation for semantic segmentation adaptation

(2020) Rui Li et al.   PATTERN RECOGNITION

Scale variance minimization for unsupervised domain adaptation in image segmentation

(2020) Dayan Guan et al.   PATTERN RECOGNITION

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE