AI备忘录 - 目标检测 - Faster R-CNN 详解[译] 的评论
type: channel
link: https://www.aiuai.cn/aifarm192.html
description: 原文: Faster R-CNN: Down the rabbit hole of modern object detection - 2018.01.18作者：Javier ReyObject...
items: AIHGF
items: backkon
items: 幸
items: 鬼谷

AIHGF
type: item
date: 2020-05-07T21:13:18+08:00
description: 你是跑的哪个 demo.py 呢？ bbox_normalize_stds 应该是 bbox 归一化的方差吧

backkon
type: item
date: 2020-05-06T21:05:44+08:00
description: 楼主你好，我想问一下，他在跑demo.py的时候，self._predictions["bbox_pred"] *= stds这步是什么操作呀，为什么对bbox_pred还要再进行一下修正，换句话说，配置文件中的FLAGS2["bbox_normalize_stds"] = (0.1, 0.1, 0.1, 0.1)是什么意思？

幸
type: item
date: 2019-09-30T10:05:39+08:00
description: 楼主很厉害

AIHGF
type: item
date: 2019-06-09T11:53:57+08:00
description: 是的，Faster R-CNN 论文里的 IoU 阈值是 0.7 和 0.3. 论文细节为：For training RPNs, we assign a binary class label (of being an object or not) to each anchor. We assign a positive label to two kinds of anchors: (i) the anchor/anchors with the highest Intersectionover-Union (IoU) overlap with a ground-truth box, or (ii) an anchor that has an IoU overlap higher than 0.7 with any ground-truth box. Note that a single ground-truth box may assign positive labels to multiple anchors. We assign a negative label to a non-positive anchor if its IoU ratio is lower than 0.3 for all ground-truth boxes. Anchors that are neither positive nor negative do not contribute to the training objective.

鬼谷
type: item
date: 2019-06-08T14:20:47+08:00
description: 你好，感谢你的整理。4.1 rpn的iou阈值应该分别是0.7 0.3吧。除了这个区分正负样本，应该还有一个与gt最匹配的anchor作为正样本（保证每个gt box都能匹配到）