Transcription of Relation Networks for Object Detection - CVF Open Access
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Relation Networks for Object Detection - CVF Open Access
Relation Networks for Object Detection Han Hu1 Jiayuan Gu2 Zheng Zhang1 Jifeng Dai1 Yichen Wei1. 1. Microsoft Research Asia 2. Department of Machine Intelligence, School of EECS, Peking University Abstract separately. One reason is that Object - Object Relation is hard to model. Although it is well believed for years that modeling rela- The objects are at arbitrary image locations, of different tions between objects would help Object recognition, there scales, within different categories, and their number may has not been evidence that the idea is working in the deep vary across different images. The modern CNN based meth- learning era. All state-of-the-art Object Detection systems ods mostly have a simple regular network structure [25, 23]. still rely on recognizing Object instances individually, with- It is unclear how to accommodate above irregularities in ex- out exploiting their relations during learning.
Relation Networks for Object Detection Han Hu1∗ Jiayuan Gu2∗† Zheng Zhang1∗ Jifeng Dai1 Yichen Wei1 1Microsoft Research Asia 2Department of Machine Intelligence, School of EECS, Peking University {hanhu,v-jiaygu,zhez,jifdai,yichenw}@microsoft.com Abstract Although it is well believed for years that modeling rela-
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