dvlab-research / Parametric-Contrastive-Learning

Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)

https://arxiv.org/abs/2107.12028

dvlab-research/Parametric-Contrastive-Learning Issues

Why are the logits on the numerator in the loss function not masked for comparing a sample with itself?
Updated 9 months ago1
Looking forward to the code for "Region Rebalance for Long-Tailed Semantic Segmentation"
Closed a year ago4
bias/normalisation
Updated a year ago1
About learnable centers in Paco-loss
Updated a year ago2
Unable to reproduce numbers on ImagenetLT from the given GPaco Resnet50 checkpoint
Updated a year ago2
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:
Closed 2 years ago1
The difference between GPaCo and PaCo
Updated 2 years ago1
Questions about NormedLinear_Classifier
Closed 2 years ago4
Different resnet backbones
Closed 2 years ago1
Question about CIFAR-LT experiment
Closed 3 years ago6
The checkpoint on iNat2018
Closed 2 years ago3
Question about inference function in moco/builder.py
Closed 2 years ago1
The meaning of beta and gamma in the code
Closed 2 years ago4
Question about supcon framework
Closed 2 years ago1
Questions about center learning
Closed 3 years ago1
Thank you for your code. What is the long tail run command
Closed 3 years ago1
Where to download the pretrained model?
Closed 3 years ago1
About the results of SupCon
Closed 3 years ago1
About Batch Size
Closed 3 years ago1
Questions about tau-norm with randaugment
Closed 3 years ago5
Why not use NormedLinear_Classifier?
Closed 3 years ago1
Questions about experiments
Closed 3 years ago6
where to get the ImageNet_LT data listed in the .txt files?
Closed 3 years ago1