Video Object Segementation with Re-identification(VS-ReID)
Video Object Segementation with Re-identification(VS-ReID) 一般的视频分割都是通过temporal continuity去传播掩码，但是对于一些漂移和大的移位问题导致目标丢失，不能解决。为了解决这类问题，这篇文章制定了一个自适应对象重新识别（VS-REID）机制来防止目标丢失。 整个模型中包括两部分：掩码传播模块和REID模块 前一模块是有
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相关文章
- 1. video object detection
- 2. Relation Distillation Networks for Video Object Detection
- 3. Mining Inter-Video Proposal Relations for Video Object Detection
- 4. 【论文翻译】Mobile Video Object Detection with Temporally-Aware Feature Maps
- 5. 《Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning》论文笔记
- 6. [论文解读]Video Object Segmentation with Episodic Graph Memory Networks
- 7. 视频物体检测(VID) Object Detection from Video Tubelets with Convolutional Neural Networks
- 8. 【VIS】Classifying,Segmenting,and Tracking Object Instances in Video with Mask Propagation
- 9. Kafka Video Streaming with Flask
- 10. Video Input and Output2（Creating a video with OpenCV）