Scale variance minimization for unsupervised domain adaptation in image segmentation

Challenging tough samples in unsupervised domain adaptation

(2020) Lin Zuo et al.   PATTERN RECOGNITION

Context from within: Hierarchical context modeling for semantic segmentation

(2020) Kien Nguyen et al.   PATTERN RECOGNITION

Simplified unsupervised image translation for semantic segmentation adaptation

(2020) Rui Li et al.   PATTERN RECOGNITION

Correlation-aware Adversarial Domain Adaptation and Generalization

(2019) Mohammad Mahfujur Rahman et al.   PATTERN RECOGNITION

Exploring uncertainty in pseudo-label guided unsupervised domain adaptation

(2019) Jian Liang 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

Adaptive Batch Normalization for practical domain adaptation

(2018) Yanghao Li et al.   PATTERN RECOGNITION

Active multi-kernel domain adaptation for hyperspectral image classification

(2018) Cheng Deng et al.   PATTERN RECOGNITION

Deep gated attention networks for large-scale street-level scene segmentation

(2018) Pingping Zhang et al.   PATTERN RECOGNITION

Beyond pixels: A comprehensive survey from bottom-up to semantic image segmentation and cosegmentation

(2016) Hongyuan Zhu et al.   JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

The Pascal Visual Object Classes Challenge: A Retrospective

(2014) Mark Everingham et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION