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Hello! your reranking is a good job! However, there is a problem about your usage of q_q_dist. Without q_q_dist, it seems that your reranking would drop a lot. I do the experiments below
mAP of No reranking
mAP of reranking with q_q_dist
mAP of reranking without q_q_dist
70.3
85.7
71.9
23.9
34.7
25.5
24.0
35.2
25.5
It is so weird. Could you explain it?
The text was updated successfully, but these errors were encountered:
Hello, @zhunzhong07. I encountered a similar problem. I also wonder why to use q_q_dist? I mean, in practical ReID scenarios, there may be not enough query images for q_q_dist.
@zhunzhong07
If the algo requires q_q_dist, then it is not practical?
In real-world application query is a track of images (multi-shot) and each person in the gallery also contains a large number of images. Is your algo is applicable?
Hello! your reranking is a good job! However, there is a problem about your usage of q_q_dist. Without q_q_dist, it seems that your reranking would drop a lot. I do the experiments below
It is so weird. Could you explain it?
The text was updated successfully, but these errors were encountered: