dvlab-research/Parametric-Contrastive-Learning
Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)
PythonMIT
Pinned issues
Issues
- 1
Why are the logits on the numerator in the loss function not masked for comparing a sample with itself?
#23 opened by xiaobingbuhuitou - 4
Looking forward to the code for "Region Rebalance for Long-Tailed Semantic Segmentation"
#16 opened by bowenroom - 1
bias/normalisation
#22 opened by audibert-alexandre-fra - 2
About learnable centers in Paco-loss
#20 opened by butcher1226 - 2
Unable to reproduce numbers on ImagenetLT from the given GPaco Resnet50 checkpoint
#21 opened by pradipto111 - 1
FileNotFoundError: [Errno 2] No such file or directory: 'pretrained_model/moco_ckpt.best.pth.tar' raise ProcessRaisedException(msg, error_index, failed_process.pid) torch.multiprocessing.spawn.ProcessRaisedException:
#19 opened by noreenanwar - 1
The difference between GPaCo and PaCo
#18 opened by madoka109 - 4
Questions about NormedLinear_Classifier
#17 opened by JingLiJJ - 1
Different resnet backbones
#14 opened by thomascong121 - 6
Question about CIFAR-LT experiment
#5 opened by caisarl76 - 3
The checkpoint on iNat2018
#15 opened by Duconnor - 1
- 4
The meaning of beta and gamma in the code
#12 opened by madoka109 - 1
Question about supcon framework
#11 opened by thomascong121 - 1
Questions about center learning
#10 opened by zuglerQ - 1
- 1
Where to download the pretrained model?
#8 opened by hongxin001 - 1
About the results of SupCon
#7 opened by tzhxs - 1
About Batch Size
#6 opened by oldfemalepig - 5
Questions about tau-norm with randaugment
#3 opened by adf1178 - 1
Why not use NormedLinear_Classifier?
#4 opened by GeoffreyChen777 - 6
Questions about experiments
#2 opened by Hongbin98 - 1