An extended garden image dataset with pairwise ground truth is released and used to benchmark CNN place recognition models trained with contrastive loss, showing domain-specific improvement but limited generalization.
Harvesting robots for high-value crops: State-of-the-art review and challenges ahead
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Place recognition in gardens by learning visual representations: data set and benchmark analysis
An extended garden image dataset with pairwise ground truth is released and used to benchmark CNN place recognition models trained with contrastive loss, showing domain-specific improvement but limited generalization.