Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Saliency Transformation Network: Incorporating Multi-stage Visual Cues for Pancreas Segmentation
Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas Segmentation
Weakly- and Semi-Supervised Panoptic Segmentation
Attention-Guided Unified Network for Panoptic Segmentation
A new deep spatial transformer convolutional neural network for image saliency detection
Exploiting Saliency for Object Segmentation from Image Level Labels
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation
PiCANet: Learning Pixel-wise Contextual Attention in ConvNets and Its Application in Saliency Detection
DFNet: Semantic Segmentation on Panoramic Images with Dynamic Loss Weights and Residual Fusion Block
Deep learning based Nucleus Classification in pancreas histological images
Saliency Detection via Combining Region-Level and Pixel-Level Predictions with CNNs
Deeply Self-Supervising Edge-to-Contour Neural Network Applied to Liver Segmentation.
2D-Densely Connected Convolution Neural Networks for automatic Liver and Tumor Segmentation
Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks
UPSNet: A Unified Panoptic Segmentation Network
A deep multi-level network for saliency prediction
Superiority Of Graph-Based Visual Saliency (GVS) Over Other Image Segmentation Methods
Dual Attention Network for Scene Segmentation
Lateral Inhibition-inspired Convolutional Neural Network for Visual Attention and Saliency Detection
Image Co-segmentation via Saliency Co-fusion
Saliency Unified: A Deep Architecture for simultaneous Eye Fixation Prediction and Salient Object Segmentation
SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
The changing Chinese culture and business behaviour
FML-based Dynamic Assessment Agent for Human-Machine Cooperative System on Game of Go
Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification
3 D printing : an emerging tool for novel microfluidics and lab ‐ on ‐ a ‐ chip applications