【VIS】Classifying,Segmenting,and Tracking Object Instances in Video with Mask Propagation
Abstract 在Mask-RCNN的基礎上加一個在一段video clip中可以propagate instance masks的模塊。這樣可以參照clip最中間那個instances segmentation 來predict clip-level的instance tracks Method MaskProp以一個video的隨機長度L作爲輸入然後輸出一個video-level的insta
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相關文章
- 1. 《DEEP LEARNING IN VIDEO MULTI-OBJECT TRACKING: ASURVEY》
- 2. 視頻分割--Learning to Segment Instances in Videos with Spatial Propagation Network
- 3. 論文閱讀之：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》論文筆記
- 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. 論文閱讀：Video Object Segmentation and Tracking A Survey
- 10. Video Object Segementation with Re-identification(VS-ReID)