Anchor-based methods, which require a large number of pre-set anchors, have been widely used for oriented object detection in remote sensing images. However, the definitions of anchors' sizes, aspect ratios and quantities are heuristic a... K Song,P Huang,Z Lin,... - 《Remote Sensing Lett...
Two-stage detectors f i rst generatea limited number of object box proposals using category-independent proposal methods, such as selective search [8],CPMC [9], multi-scale combinatorial grouping [10] andRPN [1]. This is followed by adopting classif i cation andlocalization tasks on those ...
Methods 1.Fully Convolutional One-Stage Object Detector 2.Multi-level Prediction with FPN for FCOS 3. Center-ness for FCOS Results Title:《FCOS: Fully Convolutional One-Stage Object Detection》Author:The University of Adelaide, AustraliaCVPR 2019好久没看detection的论文了,很多工作的细节忘得都差不多...
Methods 1.空洞卷积 下图中,右边为空洞卷积。 2.转置卷积 目标检测 1.传统的目标检测方法 滑动窗口法+传统机器学习分类器 滑动窗口即有一个窗口在图片上进行滑动,然后检测这个窗口里有没有object。 缺点: 识别效果不好,准确率不高;计算量较大,运行速度慢;且可能出现多个正确识别的结果。 2. 滑动窗口法则+CNN ...
Data: For augmentation and data loading, we recommend using existing packages. Albumentations provides data augmentation methods for object detection. TorchVision provides dataset code for some popular object detection datasets. See the notebook for an example. You may any format you wish for the boun...
FCOS-LiDAR: Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images 本文主要提出了lidar-based 的Range View视角下的3D目标检测方法。 主要亮点: range view, 只使用标准卷积; 在range view,使用了多帧,并且优化方法能有一个比较好的效果; ...
Paper tables with annotated results for Towards End-to-end Semi-supervised Learning for One-stage Object Detection
To mitigate these misalignment issues, the Misalignment-Resistant Domain Adaptive (MRDA) detector, consisting of two novel adaptive components tailored for the detection task, is proposed. The verification experiments demonstrate that our methods can effectively alleviate the misalignment. Compared with the...
Besides, more signif- icantly, these methods are mainly used in special domain objection detection such as scene text detection [33, 10] or face detection [32, 12], since it is believed that these meth- ods do not work well when applied to generic object de- tection with hig...
Several famous one-stage methods such as RetinaNet [15], You Only Look Once version3 (YOLOv3) [16], and CenterNet are proposed for object detection, and some literatures have used the one-stage architecture to detect the lung nodules. In 2019, Liao et al. used the N-Net to observe ...