Comments (1)
huanghoujing
commented on June 7, 2024
Thanks for your attention. The GlobalPool score is similar to the repo you mentioned. For global pooling baseline, the following are beneficial
- setting last conv stride to 1
- embedding layer
- max pooling.
ThePCB score is better than reported in the paper as well as reported in this repo. The improvement comes from max pooling.
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Related Issues (20)
- could you share Partial REID and Partial iLIDS datasets in google drive?
- No valid query error after 5 epochs
- Can't reach the accuracy of your model
- about the size of pap_size
- Will it be possible to share the pose estimation result of cuhk03-np labeled? HOT 1
- How to generate im_path_to_kpt.pkl? HOT 2
- file not found error for .pkl file HOT 1
- TypeError: function takes exactly 5 arguments (1 given)
- KeyError: 'Market-1501-v15.09.15/bounding_box_train\\0661_c5s2_040055_01.jpg' HOT 1
- for triplet loss HOT 20
- 关于compute_dist_with_visibility函数中的余弦距离计算问题 HOT 1
- for rank list visualization how to provide pap_mask HOT 5
- How to generate part labels and key points for other datasets?
- BatchSize的计算 HOT 2
- How to generate .pkl file for different dataset ?
- would you please provide keypoint generation code for other datasets ? it will be a great help if you provide.
- Keys not found in source state_dict
- what is the reason to assign weights like 1, 1 to ID and segmentation losses while computing total loss
- 请问pkl存储关键点的顺序是怎么样的？ HOT 1
- kpt = self.im_path_to_kpt[key]['kpt'] KeyError: 'Market-1501-v15.09.15/bounding_box_train/0685_c4s3_063304_03.jpg'
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