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Thanks for your open source code, I have reproduced the experiments and get similar results using ISAL. However, I want to compare the results with coreset method but I didn't find any open source code about coreset on object detection. I have read the coreset paper and its experiments are based on classification task. The key problem is how to calculate the distance between two different images in object detection. Did you implement coreset on object detection by yourself? If so, would you please share the code or is there any open source link? I'll be really appreciate it.
The text was updated successfully, but these errors were encountered:
Hi! In Supplementary Material of my paper https://arxiv.org/pdf/2108.09331.pdf, section 'D.2. Object Detection', I demonstrate how to implement the coreset method for object detection. We apply global average pooling on the feature after the regression branch and the classification branch of FCOS, and calculate the cosine similarity over these global averaged feature vectors.
Thanks for your open source code, I have reproduced the experiments and get similar results using ISAL. However, I want to compare the results with coreset method but I didn't find any open source code about coreset on object detection. I have read the coreset paper and its experiments are based on classification task. The key problem is how to calculate the distance between two different images in object detection. Did you implement coreset on object detection by yourself? If so, would you please share the code or is there any open source link? I'll be really appreciate it.
The text was updated successfully, but these errors were encountered: