FCOS: A Simple and Strong Anchor-free Object Detector
論文鏈接 一.背景 1.anchor-base缺點 (１)．anchor的設置對結果影響很大,不同項目這些超參都需要根據經驗來確定，難度較大． (２)．anchor太過密集，其中很多是負樣本，引入了不平衡． (３)．anchor的計算涉及IOU增加計算複雜度． 2.anchor free檢測框 yolov1可看成是anchor free方式，通過劃分格子，target的中心點位於
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相關文章
- 1. Rapid Object Detection using a Boosted Cascade of Simple Features
- 2. MegDet: A Large Mini-Batch Object Detector
- 3. Viola–Jones object detection framework--Rapid Object Detection using a Boosted Cascade of Simple Fea
- 4. FCOS: Fully Convolutional One-Stage Object Detection
- 5. FCOS: Fully Convolution One-Stage Object Detection
- 6. SORT: A Simple, Online and Realtime Tracker
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- 8. 論文SDP + RCNN | Exploit All the Layers: Fast and Accurate CNN Object Detector with SDP and CRC
- 9. MegDet: A Large Mini-Batch Object Detector「CVPR 2018」
- 10. 論文筆記：Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation