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CVMI-Lab / SlotCon

(NeurIPS 2022) Self-Supervised Visual Representation Learning with Semantic Grouping
https://wen-xin.info/slotcon/
Apache License 2.0
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Evaluation on Unsupervised Semantic Segmentation Benchmarks #4

Closed Haochen-Wang409 closed 1 year ago

Haochen-Wang409 commented 1 year ago

Hi, @xwen99 great work on unsupervised local features learning.

I am wondering how to evaluate SlotCon on unsupervised semantic segmentation benchmarks (i.e., Table 5 in the paper). Do you have any plans to release the implementation?

xwen99 commented 1 year ago

Hi @Haochen-Wang409, thank you for your interest in our work. Since this work mainly focuses on representation learning and does not aim to propose a SOTA for unsupervised semantic segmentation, currently, we do not plan to release the code for this task. However, if you are really interested in the evaluation of unsupervised semantic segmentation, we have provided detailed implementation settings in section A.3 of the appendix. Concerning implementation, our experimental code is based on PiCIE (https://github.com/janghyuncho/PiCIE), and the modification is quite small.

Haochen-Wang409 commented 1 year ago

Thanks for your prompt reply!