Level set based shape prior and deep learning for image segmentation

Wider or Deeper: Revisiting the ResNet Model for Visual Recognition

(2019) Zifeng Wu 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

Automatic object extraction from images using deep neural networks and the level-set method

(2018) Kan Wu et al.   IET Image Processing

Adaptive active contours based on variable kernel with constant initialisation

(2018) Asad Munir et al.   IET Image Processing

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Survey of recent progress in semantic image segmentation with CNNs

(2017) Qichuan Geng et al.   Science China-Information Sciences

Deep learning

(2015) Yann LeCun et al.   NATURE

The Pascal Visual Object Classes Challenge: A Retrospective

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

SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

(2012) R. Achanta et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Distance Regularized Level Set Evolution and Its Application to Image Segmentation

(2010) Chunming Li et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Minimization of Region-Scalable Fitting Energy for Image Segmentation

(2008) Chunming Li et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING