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HICO-DET-SG and V-COCO-SG: New Data Splits for Evaluating the Systematic Generalization Performance of Human-Object Interaction Detection Models
April 15, 2024, 4:45 a.m. | Kentaro Takemoto, Moyuru Yamada, Tomotake Sasaki, Hisanao Akima
cs.CV updates on arXiv.org arxiv.org
Abstract: Human-Object Interaction (HOI) detection is a task to localize humans and objects in an image and predict the interactions in human-object pairs. In real-world scenarios, HOI detection models need systematic generalization, i.e., generalization to novel combinations of objects and interactions, because the train data are expected to cover a limited portion of all possible combinations. To evaluate the systematic generalization performance of HOI detection models, we created two new sets of HOI detection data splits …
abstract arxiv coco cs.ai cs.cv data detection human humans image interactions novel object objects performance type world
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