Object Counting and Instance Segmentation with Image-level Supervision
論文：Object Counting and Instance Segmentation with Image-level Supervision 鏈接：https://arxiv.org/pdf/1903.02494 轉載 背景 當人類看到一張照片有 1 ~ 4 個物件時，可以即時算出數量，不需要一個一個數。基於這個想法提出了一個物件數量限縮的訓練方式，稱作 ILC - Image-level
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相關文章
- 1. Instance Segmentation with Mask R-CNN and TensorFlow
- 2. MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features閱讀筆記
- 3. D2Det: Towards High Quality Object Detection and Instance Segmentation
- 4. 【閱讀筆記】《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. 論文閱讀：Instance-Level Salient Object Segmentation
- 10. PointSetNet：Point-Set Anchors for Object Detection,Instance Segmentation and Pose Estimation