Video object segmentation without temporal information
Video Object Segmentation, and video processing in general, has been historically
dominated by methods that rely on the temporal consistency and redundancy in consecutive …
dominated by methods that rely on the temporal consistency and redundancy in consecutive …
Lucid data dreaming for video object segmentation
Convolutional networks reach top quality in pixel-level video object segmentation but
require a large amount of training data (1k–100k) to deliver such results. We propose a new …
require a large amount of training data (1k–100k) to deliver such results. We propose a new …
Lucid data dreaming for multiple object tracking
Convolutional networks reach top quality in pixellevel object tracking but require a large
amount of training data (1k∼ 10k) to deliver such results. We propose a new training …
amount of training data (1k∼ 10k) to deliver such results. We propose a new training …
Semantic instance meets salient object: Study on video semantic salient instance segmentation
Focusing on only semantic instances that only salient in a scene gains more benefits for
robot navigation and self-driving cars than looking at all objects in the whole scene. This …
robot navigation and self-driving cars than looking at all objects in the whole scene. This …
Segmenting with style: detecting program and story boundaries in TV news broadcast videos
Television news is an important medium to convey information to masses. This motivates
several stakeholders to monitor and analyze the news broadcasts. Segmentation of …
several stakeholders to monitor and analyze the news broadcasts. Segmentation of …
[PDF][PDF] Classification program and story boundaries segmentation in tv news broadcast videos via deep convolutional neural network
Given the amount of video information on the net, the user has had difficulty finding the
information in a reasonable amount of time. Thus, all video content must be segmented and …
information in a reasonable amount of time. Thus, all video content must be segmented and …
Deep-ultraviolet optoelectronic devices enabled by the hybrid integration of next-generation semiconductors and emerging device platforms
N Alfaraj - 2019 - repository.kaust.edu.sa
In this dissertation, the design and fabrication of deep-ultraviolet photodetectors were
investigated based on gallium oxide and its alloys, through the heterogeneous integration …
investigated based on gallium oxide and its alloys, through the heterogeneous integration …
Semi-supervised video object segmentation with recurrent neural network
X Ren, H Pan, Z **g, L Gao - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Object segmentation in videos has been extensively investigated recent years. However,
semi-supervised object segmentation in videos is still a challenging research topic as it is …
semi-supervised object segmentation in videos is still a challenging research topic as it is …
MAIN: Multi-Attention Instance Network for Video Segmentation
Instance-level video segmentation requires a solid integration of spatial and temporal
information. However, current methods rely mostly on domain-specific information (online …
information. However, current methods rely mostly on domain-specific information (online …
Contextual Guided Segmentation Framework for Semi-supervised Video Instance Segmentation
In this paper, we propose contextual guided segmentation (CGS) framework for video
instance segmentation in three passes. In the first pass, ie., preview segmentation, we …
instance segmentation in three passes. In the first pass, ie., preview segmentation, we …