Object Counting and Instance Segmentation with Image-level Supervision
论文：Object Counting and Instance Segmentation with Image-level Supervision 链接：https://arxiv.org/pdf/1903.02494 转载 背景 当人类看到一张照片有 1 ~ 4 个物件时，可以即时算出数量，不需要一个一个数。基于这个想法提出了一个物件数量限缩的训练方式，称作 ILC - Image-level
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相关文章
- 1. Instance Segmentation with Mask R-CNN and TensorFlow
- 2. MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features阅读笔记
- 3. D2Det: Towards High Quality Object Detection and Instance Segmentation
- 4. 【阅读笔记】《Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network》（JSIS-Net）
- 5. DL-semantic segmentation/Classification+Localization/Object Detection/Instance Segmentation
- 6. semantic segmentation 和instance segmentation
- 7. [ICCV 2019] YOLACT Real-time Instance Segmentation
- 8. RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation
- 9. 论文阅读：Instance-Level Salient Object Segmentation
- 10. PointSetNet：Point-Set Anchors for Object Detection,Instance Segmentation and Pose Estimation