[paper reading] C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection CVPR2019 - 代码天地

[paper reading] C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection CVPR2019

其他 2019-04-15 00:24:45 阅读次数: 0

MIL陷入局部最优，检测到局部，无法完整的检测到物体。将instance划分为空间相关和类别相关的子集。在这些子集中定义一系列平滑的损失近似代替原损失函数，优化这些平滑损失。

C-MIL learns instance subsets, where the instances are spatially related, i.e., overlapping with each other, and class related, i.e., having similar object class scores.

C-MIL treats images as bags and image regions generated by an object proposal method [24,32] as instances

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转载自www.cnblogs.com/demian/p/10668677.html

[paper reading] C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection CVPR2019

【CVPR2019】C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection

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