A training-only contrastive auxiliary branch with a linearly decaying loss weight improves video object detection accuracy by about two mAP points on ImageNet VID without increasing inference cost.
In: Proceedings of the IEEE/CVF conference on computer vision and pattern recog- nition
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Contrastive Learning through Auxiliary Branch for Video Object Detection
A training-only contrastive auxiliary branch with a linearly decaying loss weight improves video object detection accuracy by about two mAP points on ImageNet VID without increasing inference cost.