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vijaydwivedi75 / lrgb

Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
MIT License
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Questions about PascalVOC-SP and COCO-SP #7

Closed HB-pencil-zero closed 1 year ago

HB-pencil-zero commented 1 year ago

I found that the feature vector of these two datasets is 14-dimension, but when I read your paper , the description in this paper is " The initial feature of each superpixel node is 12 dimensional RGB feature value (mean, std, max, min) ". So I don't particularly understand why the features are actually fourteen-dimensional. Could you please explain to me? Thanks for your kindness.

vijaydwivedi75 commented 1 year ago

Hi @HB-pencil-zero, thank you for pointing this out. The node feature vector is indeed 14-dimensional (12 dim RGB features + 2 dim coordinates) as mentioned in Table 1. The sentence that you refer to (in Section 3.1) misses to include the phrase about the 2 dimensional coordinate. We will correct this sentence and update the paper.

HB-pencil-zero commented 1 year ago

Thanks for your nice explaination and your kindness，and now I can understand the dataset.

@. @.

---- Replied Message ---- From Vijay Prakash @.>Date 10/28/2022 21:41To @.>Cc Huang @.**@.>Subject Re: [vijaydwivedi75/lrgb] Questions about PascalVOC-SP and COCO-SP (Issue #7)

Hi @HB-pencil-zero, thank you for pointing this out. The node feature vector is indeed 14-dimensional (12 dim RGB features + 2 dim coordinates) as mentioned in Table 1. The sentence that you refer to (in Section 3.1) misses to include the phrase about the 2 dimensional coordinate. We will correct this sentence and update the paper. — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you were mentioned.Message ID: @.***>