Patch-Based Auxiliary Node Classification for Domain Adaptive Object Detection

Patch-Based Auxiliary Node Classification for Domain Adaptive Object Detection

Domain adaptive object detection (DAOD) aims to leverage labeled source domain data to train object detection models that can generalize well to unlabeled target domains. Recently, many researchers have considered implementing fine-grained pixel-level domain adaptation using graph representations. E...

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Bibliographic Details
Main Authors: Yuanyuan Qiu, Zhijie Xu, Jianqin Zhang
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Electronics
Subjects:
object detection
domain adaptation
node classification
patch
graph matching
Online Access:https://www.mdpi.com/2079-9292/13/7/1239

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https://www.mdpi.com/2079-9292/13/7/1239

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