Speed/accuracy trade-offs for modern convolutional object detectors
2020-04-22 02:48
1466 查看
现代卷积目标检测器的速度/精度权衡
- 摘要
- 1. 简介
- 2 Meta-architectures2.1. Meta-architectures2.1.1 Single Shot Detector (SSD).
- 2.1.2 Faster R-CNN
内容来自用户分享和网络整理，不保证内容的准确性，如有侵权内容，可联系管理员处理 
相关文章推荐
- 论文阅读-《Speed/accuracy trade-offs for modern convolutional object detectors》
- 目标检测“Speed/accuracy trade-offs for modern convolutional object detectors”
- Speed/accuracy trade-offs for modern convolutional object detectors
- Speed/accuracy trade-offs for modern convolutional object detectors
- READING NOTE: Speed/accuracy trade-offs for modern convolutional object detectors
- [论文笔记]Speed/accuracy trade-offs for modern convolutional object detectors
- 论文笔记之---Speed and accuracy trade-offs for modern convolutional object detectors
- 论文：Speed/accuracy trade-offs for object detectors
- LocNet: Improving Localization Accuracy for Object Detection
- 目标跟踪（四）：Fully-Convolutional Siamese Networks for Object Tracking (SiameseFC)
- [论文解读] MSCNN: A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
- 论文阅读-《Deformable Part-based Fully Convolutional Network for Object Detection》
- LocNet: Improving Localization Accuracy for Object Detection
- Design Tradeoffs for Data Deduplication Performance in Backup Workloads
- ognl.MethodFailedException: Method "setEndtime" failed for object com.piptrade.action.tradetools.eCa
- 《Revisiting knowledge transfer for training object class detectors》论文笔记
- MSCNN 论文解析(A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
- MSCNN论文解读-A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
- Fast R-CNN: Fast Region-based Convolutional Networks for object detection(阅读)
- Spatially Supervised Recurrent Convolutional Neural Networks for Visual Object Tracking