Why 82 classes for V-COCO dataset?

hitachi-rd-cv / qpic

Repo for CVPR2021 paper "QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information"

Apache License 2.0

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Why 82 classes for V-COCO dataset? #42

Closed jungle-gym-ac closed 1 year ago

jungle-gym-ac commented 1 year ago

Sorry to interrupt, I noticed that in convert_parameters.py, one more output neuron is added for the object class output when the dataset is V-COCO, i.e. ps['model']['obj_class_embed.weight'] will output 82 categories, instead of 81 when using HICO-DET.

And I wonder what is the extra neuron used for, Thank you!