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Source Free Object Detection

Source-Free Object Detection (SFOD) is a domain adaptation challenge in which only the pretrained source model weights are available during adaptation, with no access to the source data. The model must adapt solely using unlabeled samples from the target domain

Papers

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Showing 11–17 of 17 papers

TitleStatusHype
Enhancing Source-Free Domain Adaptive Object Detection with Low-confidence Pseudo Label DistillationCode0
Context Aware Grounded Teacher for Source Free Object DetectionCode0
Multi-source-free Domain Adaptation via Uncertainty-aware Adaptive DistillationCode0
Adversarial Alignment for Source Free Object Detection—0
Source-free Domain Adaptive Object Detection in Remote Sensing Images—0
A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data—0
Exploiting Low-confidence Pseudo-labels for Source-free Object Detection—0
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