将anchor-free的检测头换成anchor-based,其他不变,验证anchor-free的有效性。结论anchor-free能显著增强特征鉴别性。 采用不同的下采样步长,发现相同步长下,anchor-free优于anchor-based方法/ 分辨率较高的情形,anchor-based反而性能下降了,作者认为是未对齐的anchors更多导致训练不充分。 对比了不同backbone 不同的bac...
从其他领域借鉴了一些方法和概念处理这些存在的问题,提供了一个简单却强大的baseline。 方法介绍 本文方法的框架图: image.png backbone 基干网络采用的是ResNet-34,然后不同的stage之间采用修改版的Deep Layer Aggregation (DLA)进行融合,最终输出的特征map相对于输入下采用的4倍,而不是原来的32倍,能有效提升检测的...
FairMOT关联算法和deepsort关联算法的不同 1、多个track并行执行卡尔曼滤波,比deepsort的卡尔曼滤波更快。 2、特征向量只保存一个,使用指数滑动平均进行融合多个特征向量,计算加快。 3、基于外观信息匹配时,距离使用deepsort论文中采用马氏距离和余弦距离的加权,系数分别为0.02和0.98。 4、不再使用级联匹配,即self.tim...
这个head负责估计对象中心的位置。 这里采用基于热图的表示法,这是界标点估计任务的事实上的标准(de facto standard for the landmark point estimation task)。尤其是,热图的尺寸为1×H×W。如果热图随真是物体中心崩溃( collapse),则在热图中某个位置的响应预计为1。 随着热图中位置和对象中心之间的距离,响应呈...
Tracking by detection has been the prevailing paradigm in the field of Multi-object Tracking (MOT). These methods typically rely on the Kalman Filter to estimate the future locations of objects, assuming linear object motion. However, they fall short when tracking objects exhibiting nonlinear and ...
A simple baseline for one-shot multi-object tracking: A Simple Baseline for Multi-Object Tracking, Yifu Zhang, Chunyu Wang, Xinggang Wang, Wenjun Zeng, Wenyu Liu, arXiv technical report (arXiv 2004.01888) Abstract There has been remarkable progress on object detection and re-identification in...
A simple baseline for one-shot multi-object tracking: A Simple Baseline for Multi-Object Tracking, Yifu Zhang, Chunyu Wang, Xinggang Wang, Wenjun Zeng, Wenyu Liu, arXiv technical report (arXiv 2004.01888) Abstract There has been remarkable progress on object detection and re-identification in...
3D Multi-Object Tracking: A Baseline and New Evaluation Metrics,程序员大本营,技术文章内容聚合第一站。
Multi-object tracking (MOT) is one of the most challenging tasks in the field of computer vision. Although many MOT methods have been proposed in the liter
A simple baseline for one-shot multi-object tracking: A Simple Baseline for Multi-Object Tracking, Yifu Zhang, Chunyu Wang, Xinggang Wang, Wenjun Zeng, Wenyu Liu, arXiv technical report (arXiv 2004.01888) Abstract There has been remarkable progress on object detection and re-identification in ...