Comments (6)
Pretraining the backbone on the train dataset can effectively avoid overfitting.
from closerlookfewshot.
I've encountered the same problem.
I was training RelationNet+ResNet18 today, and I found the model overfitting at around epoch 130 (200 episodes per epoch), i.e., the val accuracy started to drop from ~64% to ~60%.
I wonder if you solved your problem later? Thank you very much.
@shihaobai
Very nice job!!! I tried to use resnet (10, 12, 18) as a backbone of my model, but it didn't improve performance as we expected. In contrast, In our experiments, deeper resnet was mush easier overfitting than 4-conv which made us very confused. I wonder if you ever encountered a similar problem during your experiment. Thank you very much.
from closerlookfewshot.
Very nice job!!! I tried to use resnet (10, 12, 18) as a backbone of my model, but it didn't improve performance as we expected. In contrast, In our experiments, deeper resnet was mush easier overfitting than 4-conv which made us very confused. I wonder if you ever encountered a similar problem during your experiment. Thank you very much.
yes, the overfitting happened even in resnet10 with protonet! have you made it, shihaobai?
from closerlookfewshot.
Pretraining the backbone on the train dataset can effectively avoid overfitting.
pretraining is everything!
from closerlookfewshot.
@shihaobai Is pretrain the backbone mentioned in the paper? I only see baseline(and ++) has keyword pretraining.
from closerlookfewshot.
Pretraining the backbone on the train dataset can effectively avoid overfitting.
Can you tell me for how many epochs did you pretrain for? and did you use cross entropy loss to pretrain it?
from closerlookfewshot.
Related Issues (20)
- Training accuracies are low and their gaps are big when Conv4 backbone is used.
- Question on feature_loader.py:32,33
- The stop_epoch number of maml
- Larger batch size for CUBS.
- Query Regarding Figure 5.
- TypeError: super() argument 1 must be type, not classobj
- assert params.num_classes >= 1597, 'class number need to be larger than max label id in base class' HOT 5
- h
- Training using 'protonet', 'matchingnet', 'relationnet', 'relationnet_softmax', 'maml', 'maml_approx' methods with an unbalanced dataset.
- Baseline++ cross_char accuracy lower than Baseline
- About the lacking of query sample in data_loader and the lacking of target in calculating loss
- h
- CUB dataset's link no longer valid
- Baseline ++ validation wrongly reported in paper?
- What does fid mean in write_miniImagenet_filelist.py ?
- How to fine-tune the Matching Network HOT 1
- errro _pickle.PicklingError HOT 1
- RuntimeError: "nll_loss_forward_reduce_cuda_kernel_2d_index" not implemented for 'Int'
- how to make the experiments repeatable?
- How to get the pre-trained model?
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from closerlookfewshot.