Implicit Feature Pyramid Network for Object Detection

• URL: http://arxiv.org/abs/2012.13563v1
• Date: Fri, 25 Dec 2020 11:30:27 GMT
• Title: Implicit Feature Pyramid Network for Object Detection
• Authors: Tiancai Wang, Xiangyu Zhang, Jian Sun
• Abstract summary: We present an implicit feature pyramid network (i-FPN) for object detection. We propose to use an implicit function, recently introduced in deep equilibrium model (DEQ) to model the transformation of FPN. Experimental results on MS dataset show that i-FPN can significantly boost detection performance compared to baseline detectors.
• Score: 22.530998243247154
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: In this paper, we present an implicit feature pyramid network (i-FPN) for object detection. Existing FPNs stack several cross-scale blocks to obtain large receptive field. We propose to use an implicit function, recently introduced in deep equilibrium model (DEQ), to model the transformation of FPN. We develop a residual-like iteration to updates the hidden states efficiently. Experimental results on MS COCO dataset show that i-FPN can significantly boost detection performance compared to baseline detectors with ResNet-50-FPN: +3.4, +3.2, +3.5, +4.2, +3.2 mAP on RetinaNet, Faster-RCNN, FCOS, ATSS and AutoAssign, respectively.

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