Self-Supervision & Meta-Learning for One-Shot Unsupervised Cross-Domain Detection. (arXiv:2106.03496v3 [cs.CV] UPDATED)

Deep detection approaches are powerful in controlled conditions, but appear
brittle and fail when source models are used off-the-shelf on unseen domains.
Most of the existing works on domain adaptation simplify the setting and access
jointly both a large source dataset and a sizable amount of target samples.
However this scenario is unrealistic in many practical cases as when monitoring
image feeds from social media: only a pretrained source model is available and
every target image uploaded by the users …

arxiv detection learning meta meta-learning unsupervised