03 2022 档案
摘要：floor() rounds down. int() truncates. The difference is clear when you use negative numbers: >>> import math >>> math.floor(-3.5) -4 >>> int(-3.5) -3
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摘要：\(MOT \neq SOT \times N\) takeaways In fact, it is no doubt that a multiple object tracker can be realized with multiple single ones Background The sp
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摘要：SDE methods bring critical challenges in building a real-time MOT system Background Faster RCNN = Fast RCNN + RPN Seperate Detection and Embedding Det
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摘要：takeaways factors that leads to degradation of SOTA MOT trackers anchor feature sharing In FairMOT CenterNet-based homogenous branches achieves a gian
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摘要：+ Quick Question: - Note: ```diff + Quick Question: - Note: ``` 另外，想要在代码块中输入`符号或者~符号，可以改变代码块声明的格式 这比较类似于python当中'和"同时存在的设计哲学，值得借鉴 😃
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摘要：Local Relation Network Adapt filter according to the appearance affinity Motivation Meaningful and adaptive spatical aggregation Humans have a remarka
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摘要：DeepFace: Closing the Gap to Human-Level Performance in Face Verification Face Alignment/Frontalization fiducial point detector 2D alignment 3D alignm
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摘要：Bipartite maximum-weight matchings https://zhuanlan.zhihu.com/p/62981901 in Wiki, they are considered the same. 在OI当中 Hungarian 不带权二分图最大匹配 KM 带权二分图最大匹
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摘要：双边滤波 著名的保边滤波器 近邻相似度+像素值相似度 近邻/空间权重——平滑区域去噪 值域权重——保边 权重意义 $\sigma$越大，即高斯分布方差越大，权重更加平滑，表征能力越差 即$\sigma$越大，越不关注该指标的影响
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摘要：takeaways Detectors/IOU Trackers are sufficient for simple scenarios. For false negatives(missing detection), use VOT to fill the gaps KCF is enough M
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摘要：no training or optimization on tracking data. using only an object detection method to perform tracking. takeaway In Tracktor, tracklet-regression is
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摘要：为什么随机变量X和Y不相关却不一定独立？ - 咚懂咚懂咚的回答 - 知乎 https://www.zhihu.com/question/26583332/answer/42168466 独立关乎数据生成的本质 相关性特指二阶混合中心矩这一统计信息所反映出来的趋势（线性）相关性
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摘要：Game Theory Yale Univ. Ep 1. 我们无法告诉你你的人生目标是什么 教育的意义 hhh
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摘要：可以看到嵌套字典会被直接覆盖掉
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