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PyTorch code for "SOLAR: Second-Order Loss and Attention for Image Retrieval". In ECCV 2020

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Did the author train on resnet-50 backbone? If did, could you tell me the results on ROxford and RParis? Thanks you very much!

how can i visualize feature map like you . thanks ![Screenshot from 2022-04-28 09-27-43](https://user-images.githubusercontent.com/43165000/165672081-8767993e-7919-4f07-83fd-32e73f114908.png)

HI, i am facing a problem, need your help . when i load the resnet101-solar-best.pth on pytorch 1.6+cu101, is OK. i switch to pytorch 1.10+cuda11.3 , then problem occurs 'RuntimeError:...

When I extract 1-million distractors descriptors, I find that the revisitop1m.txt file contains more images than the number of images extracted from 100 tar.gz files ( I download the http://ptak.felk.cvut.cz/revisitop/revisitop1m/),...

Is there any chance to release the exact steps used to train the local solar system on UBC?

I use SOLAR for vehicle re-identification/pedestrian re-identification. but generate custom dataset is wrong. After the network converges, the negative sample l2 distance is close to 0 in create_epoch_tuples. In the...

Hi, do you support vgg16 pretrained test? if yes how can I run it? what *.pth should I use? parser.add_argument('--network', '-n', metavar='NETWORK', default='**resnet101-solar-best.pth**', help="network to be evaluated. " ) alternatively,...

Hi, I have selected gl18-tl-resnet50-gem-w, how can I convert the vector dimension to 512? By default, gl18-tl-resnet50-gem-w outputs a vector dimension of 2048, but what if I want to convert...