Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: the 2018 davis challenge on video object segmentation - cvpr 2018 workshops .
A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation
Saliency-aware geodesic video object segmentation
One-Shot Video Object Segmentation with Iterative Online Fine-Tuning
One-Shot Video Object Segmentation
MoNet: Deep Motion Exploitation for Video Object Segmentation
Fully Connected Object Proposals for Video Segmentation
Unsupervised RGBD Video Object Segmentation Using GANs
Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning
Unsupervised Video Object Segmentation for Deep Reinforcement Learning
Fast and automatic video object segmentation and tracking for content-based applications
VideoMatch: Matching based Video Object Segmentation
table 1 : comparisons with the state - ofthe - art deep learning based video object segmentation algorithms .
Efficient Video Object Segmentation via Network Modulation
Unsupervised Video Object Segmentation with Motion-Based Bilateral Networks
Recurrent convolutional neural networks for object-class segmentation of RGB-D video
Automatic Video Object Segmentation using Graph Cut
Instance-Level Video Segmentation from Object Tracks
Fast Video Object Segmentation by Reference-Guided Mask Propagation
Causal video object segmentation from persistence of occlusions
Low-Latency Video Semantic Segmentation
Object segmentation by long term analysis of point trajectories
How interdisciplinary is nanotechnology?
Developmental anomalies of teeth and their applications in Forensic Odontology
Trial of Contralateral Seventh Cervical Nerve Transfer for Spastic Arm Paralysis
On Pre-Trained Image Features and Synthetic Images for Deep Learning