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amaralibey
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Bag-of-Queries
BoQ: A Place is Worth a Bag of learnable Queries (CVPR 2024)
MIT License
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Add map_location device to support loading model on CPU-only devices
#16
OliverGrainge
opened
1 day ago
0
Help Needed to Regenerate Attention Heatmaps for VPR Project
#15
akselpoulsen
opened
2 days ago
0
Minimal example of inference
#14
tianyilim
opened
2 weeks ago
1
impact of batch size
#13
sumitmishra209
opened
4 weeks ago
0
How to use multi-gpu training?
#12
sumitmishra209
opened
1 month ago
0
About Nordland* and Nordland** results for DINOV2
#11
xjh19971
closed
1 month ago
1
For more details about the learning rate
#10
Li-Yun-star
closed
1 month ago
5
About the version of Nordland!
#9
STSTERANDMOMO
opened
2 months ago
0
About DinoV2+BoQ Training.
#8
BinuxLiu
closed
3 months ago
3
About DinoV2+BoQ training and released checkpoint
#7
hit2sjtu
closed
3 months ago
3
The Hyper-parameters for training the DinoV2+BoQ?
#6
Frost24K
closed
4 months ago
2
Feature dimensions of BoQ wth DinoV2 backbone
#5
BinuxLiu
closed
4 months ago
14
Nordland*
#4
LKELN
closed
4 months ago
2
Great work! I want to konw when using DINOv2 as the backbone, what are the training image size and the testing image size, respectively? And what is the accuracy on the MSLS challenge? Looking forward to your reply!
#3
STSTERANDMOMO
closed
4 months ago
7
Your research results are impressive! I'm curious about how to implement the "learned Bag of Queries" mentioned in the paper. After reading the paper, it seems to be related to the size of the batch_size. How can the reproducibility of the results be ensured? I hope you can publish your code soon, as I am very interested! Thank you!
#2
STSTERANDMOMO
closed
4 months ago
1
When to release the code and the pretrained model?
#1
Frost24K
closed
4 months ago
1