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Xingyi He
@XingyiHe1
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Ph.D student in Zhejiang University, interest on computer vision
Joined April 2021
@edgarriba @ducha_aiki Hi Edgar, thanks for your interest in our work! We are glad that our model can be considered included in kornia. The models and code will be open-sourced later. We can convert them (our pretrained ELoFTR and ROMA models) to onnx if needed.
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@XylonSean Hi Xuelun, thanks for your response! We clarify that the comparison with GIM in this section highlights how merging detector-free matches with a large radius and refining them produces longer tracks. We’ll revise the comment on GIM's propagation to distant frames in revision.
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@ducha_aiki @vbalnt Thanks for the splendid challenge! I'm curious about how to combine three metrics to determine the winner~
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