OV-PARTS: Towards Open-V ocabulary Part Segmentation (Supplementary Material)

Neural Information Processing Systems 

The number of part queries is set to 50. SGD optimizer with the initial learning rate of 2e-2 and weight decay of 5e-4 is used. We sample 128 training samples for each object part class. The initial value of the learnable fusion weight is 0.5 . The total batch size is 8, and the training iterations amount to 40k.

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