Video object segmentation (VOS) is an essential part of autonomous vehicle navigation. The real-time speed is very important for the autonomous vehicle algorithms along with the accuracy metric. In this paper, we propose a semi-supervised real-time method based on the Siamese network using a ...
Semi-supervised video object segmentationaims at tracking a target mask given from the first annotated frame in the subsequent frames, whileunsupervised video object segmentationaims at detecting the primary objects through the whole video sequence automatically. It should be noted that the supervised or...
video, semi supervised segmentation Semi-VOS(半监督视频目标分割)论文网络总结_默默默然的博客-CSDN博客blog.csdn.net/weixin_43082240/article/details/105657020 我大受震憾 牛 感觉主要贡献:zoom module 注意小物体,其他由于不了解video也看不懂hhh
Semi-Supervised Video Object Segmentation on YouTube-VOS 2018 Leaderboard Dataset View by for OVERALLOSVOSOSVOSS2SS2SSTMSTMFRTMFRTMCFBICFBICFBI+CFBI+R50-AOT-L (all frames)R50-AOT-L (all frames)SwinB-AOTv2-L (all frames, MS)SwinB-AOTv2-L (all frames, ...
In this paper, we address several inadequacies of current video object segmentation pipelines. Firstly, a cyclic mechanism is incorporated to the standard semi-supervised process to produce more robust representations. By relying on the accurate reference mask in the starting frame, we show that the...
Partial and Unusual Masks for Video Object Segmentation (PUMaVOS)dataset has the following properties: 24videos,21187densely-annotated frames; Covers complex practical use cases such as object parts, frequent occlusions, fast motion, deformable objects and more; ...
NIPS 2020 AFB_URR Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement Yongqing Liang et.al Louisiana State University [paper] [code] ECCV 2020 URVOS URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark Seonguk Seo, , Joon-Young ...
Semi-supervised video object segmentation with super-trajectories IEEE Trans. Pattern Anal. Mach. Intell (2018) Y. Wang et al. Dynamic graph cnn for learning on point clouds ACM Transactions on Graphics (TOG) (2019) M. Defferrard et al. Convolutional neural networks on graphs with fast local...
Semi-SupervisedVideoSegmentation UsingTreeStructuredGraphicalModels VijayBadrinarayanan,Member,IEEE,IgnasBudvytis,Member,IEEE,and RobertoCipolla,SeniorMember,IEEE Abstract—Wepresentanovelpatch-basedprobabilisticgraphicalmodelforsemi-supervisedvideosegmentation.Attheheartofour ...
A novel semi-supervised online incremental learning video segmentation and tracking algorithm has been proposed. The video frames are pre-segmented by unsupervised image segmentation method firstly, and then the foreground is recognized by an online semi-supervised learning classifier. Finally the tracking...