[paper reading] C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection CVPR2019
MIL陷入局部最優，檢測到局部，無法完整的檢測到物體。將instance劃分為空間相關和類別相關的子集。在這些子集中定義一系列平滑的損失近似代替原損失函數，優化這些平滑損失。
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
[paper reading] C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection CVPR2019
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