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tiny-smart / dysample

(ICCV'23) Learning to Upsample by Learning to Sample
MIT License
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Use Case Demos #1

Closed IceTea42 closed 1 year ago

IceTea42 commented 1 year ago

Thank you for this work. Is it planned to add a few of the use cases cited in the paper here?

poppuppy commented 1 year ago

Hi. We also build repos for testing various upsamplers based on mmcv (mmdet and mmseg), including several cases reported in the paper. Object detection, instance segmentation and panoptic segmentation: https://github.com/tiny-smart/detection-with-upsamplers Semantic segmentation: https://github.com/tiny-smart/segmentation-with-upsamplers Later I will supplement more details in the repos. Thanks.

IceTea42 commented 1 year ago

Thank you for the links!