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[CVPR 2022] semi supervised object detection: dense learning based semi supervised object detection
2022-07-06 23:55:00 【Bit reachable duck】
Dense Learning based Semi-Supervised Object Detection
brief introduction :
Semi supervised target detection (SSOD) Designed to take advantage of large amounts of unlabeled data , Promote the training and deployment of target detectors . Although various methods based on self training and consistent regularization have been proposed SSOD Method , But most of them are anchor frame based detectors , However, it ignores the fact that in many practical applications, there are higher requirements for anchor free frame detectors .
In this paper , The author intends to fill this gap , And a method based on Dense Learning No anchor for SSOD Algorithm .
say concretely , The author introduces several new technologies , Include :1、 Adaptive filtering (Adaptive Filtering) The strategy assigns multiple layers of accurate dense pixel level pseudo tags ;2、 Gather teachers (Aggregated Teacher) Used to generate stable and accurate pseudo tags ;3、
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