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ML-LocNet: Improving Object Localization with Multi-view Learning Network
[chapter]
2018
Lecture Notes in Computer Science
This paper addresses Weakly Supervised Object Localization (WSOL) with only image-level supervision. We propose a Multi-view Learning Localization Network (ML-LocNet) by incorporating multiview learning into a two-phase WSOL model. The multi-view learning would benefit localization due to the complementary relationships among the learned features from different views and the consensus property among the mined instances from each view. In the first phase, the representation is augmented by
doi:10.1007/978-3-030-01219-9_15
fatcat:swmcsa5eije77kd6xb625bqfvu