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We landed the Convit code and want to accomplish the next few steps:
- [x] Documentation
- [x] documentation in `docs/source/ssl_approaches` @growlix
- [x] optional: add doc to projects/…
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Thanks for your great work!
I believe a goal of un-/self-supervised learning is to learn transferrable feature representations. I notice that MoCo v3 conduct a study on some smaller image classific…
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specifically, what are the parameters for
```
python main_lincls.py \
-a [architecture] --lr [learning rate] \
--dist-url 'tcp://localhost:10001' \
--multiprocessing-distributed --world-…
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Thank you so much for open-sourcing! The code looks extremely clean and nice. It is a great service to the community!
Would you also open-source the improved implementations of BYOL, SWAV, SimCLR …
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will you have plan to release your pretrained weights
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**Is your feature request related to a problem? Please describe.**
Exponential moving averaging is a very import trick for training CNNs like EfficienNet, MobileNet-V3, or self-supervised learning mo…
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# Symptom
On torch-1.9.0.dev20210416+cu102, the performance of the following torchbench tests regress for over 10%:
- test_eval[pytorch_mobilenet_v3-cpu-jit]
- test_eval[pytorch_mobilenet_v3-cpu-ea…
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### `brew gist-logs ` link OR `brew config` AND `brew doctor` output
```shell
HOMEBREW_VERSION: 3.5.10-49-gb2ddb34
ORIGIN: https://github.com/Homebrew/brew
HEAD: b2ddb341a0489834dbbfcb57544d87c4…
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Hi, I have tried to reproduce the results of semantic segmentation on CityScapes reported in your paper [WHAT MAKES INSTANCE DISCRIMINATION GOOD FOR TRANSFER LEARNING?](https://arxiv.org/pdf/2006.0660…
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## 🐛 Bug
On 20210317, pytorch_mobilenet_v3 performance on TorchBench regresses for 80%
Group A: benchmark-result-v0.1-20210316140129.json
Group B: benchmark-result-v0.1-20210317140247.json
```
…