Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Fully Convolutional Siamese Networks for Change Detection
A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images
Saliency Detection via Combining Region-Level and Pixel-Level Predictions with CNNs
Learning a Transferable Change Rule from a Recurrent Neural Network for Land Cover Change Detection
Convolutional Scale Invariance for Semantic Segmentation
A Two Stream Siamese Convolutional Neural Network for Person Re-identification
Classification of Rare Building Change Using CNN with Multi-Class Focal Loss
Non-rigid image registration using fully convolutional networks with deep self-supervision
Fully Convolutional Adaptation Networks for Semantic Segmentation
A Deep Siamese Network for Scene Detection in Broadcast Videos
Joint Dictionary Learning for Multispectral Change Detection
Sketch-based image retrieval via Siamese convolutional neural network
Global Deconvolutional Networks for Semantic Segmentation
End-to-end Convolutional Network for Saliency Prediction
Differential Geometry Boosts Convolutional Neural Networks for Object Detection
Rethinking Convolutional Semantic Segmentation Learning
Forest Change Detection in Incomplete Satellite Images With Deep Neural Networks
Fully Convolutional Networks for Semantic Segmentation
Hopfield network-based approach to detect seam-carved images and identify tampered regions
Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimizing Global Loss Functions
Object Detection Networks on Convolutional Feature Maps
Edge-adaptive transforms for efficient depth map coding
Reverse wire bonding and phosphor printing for LED wafer level packaging
Fuzzy Clustering With a Modified MRF Energy Function for Change Detection in Synthetic Aperture Radar Images
Hand-Gesture Recognition System by Using Microwave Doppler Sensors
Clustering nominal data using unsupervised binary decision trees: Comparisons with the state of the art methods