【VIS】Classifying,Segmenting,and Tracking Object Instances in Video with Mask Propagation
Abstract 在Mask-RCNN的基础上加一个在一段video clip中可以propagate instance masks的模块。这样可以参照clip最中间那个instances segmentation 来predict clip-level的instance tracks Method MaskProp以一个video的随机长度L作为输入然后输出一个video-level的insta
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相关文章
- 1. 《DEEP LEARNING IN VIDEO MULTI-OBJECT TRACKING: ASURVEY》
- 2. 视频分割--Learning to Segment Instances in Videos with Spatial Propagation Network
- 3. 论文阅读之：Associatively Segmenting Instances and Semantics in Point Clouds
- 4. A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions
- 5. 《Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks》论文笔记
- 6. MOTS: Multi-Object Tracking and Segmentation
- 7. Refinements in Motion and Appearance for Online Multi-Object Tracking
- 8. 《Multi-Object Tracking with Multiple Cues and Switcher-Aware Classification》
- 9. 论文阅读：Video Object Segmentation and Tracking A Survey
- 10. Video Object Segementation with Re-identification(VS-ReID)