SATS: Self-Attention Transfer for Continual Semantic Segmentation

End-to-end weakly supervised semantic segmentation with reliable region mining

(2022) Bingfeng Zhang et al.   PATTERN RECOGNITION

High-resolution rectified gradient-based visual explanations for weakly supervised segmentation

(2022) Tianyou Zheng et al.   PATTERN RECOGNITION

Multi-criteria Selection of Rehearsal Samples for Continual Learning

(2022) Chen Zhuang et al.   PATTERN RECOGNITION

Exploiting shape cues for weakly supervised semantic segmentation

(2022) Sungpil Kho et al.   PATTERN RECOGNITION

Mix-ViT: Mixing attentive vision transformer for ultra-fine-grained visual categorization

(2022) Xiaohan Yu 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

MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning

(2021) Xiangde Luo et al.   MEDICAL IMAGE ANALYSIS

Bayesian compression for dynamically expandable networks

(2021) Yang Yang et al.   PATTERN RECOGNITION

Weakly-supervised semantic segmentation with superpixel guided local and global consistency

(2021) Sheng Yi et al.   PATTERN RECOGNITION

Deep Co-Training for Semi-Supervised Image Segmentation

(2020) Jizong Peng 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

Learning without Forgetting

(2017) Zhizhong Li et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Overcoming catastrophic forgetting in neural networks

(2017) James Kirkpatrick et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

The Pascal Visual Object Classes (VOC) Challenge

(2009) Mark Everingham et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION