Self-Supervised Pretraining for Image Classification

The code is borrowed from byol-pytorch

Performs SSL backbone pretraining on Mini-Imagenet, then transfered to Office-Home dataset with five different settings

See problem 2 in Report.pdf and Spec.pdf more details.

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
Experiments		Experiments
P2_dataloader.py		P2_dataloader.py
P2_finetuning.py		P2_finetuning.py
P2_grade.py		P2_grade.py
P2_inference.py		P2_inference.py
P2_model.py		P2_model.py
P2_training.py		P2_training.py
README.md		README.md
Report.pdf		Report.pdf
Spec.pdf		Spec.pdf
byol_pytorch.py		byol_pytorch.py
get_training_dataset.sh		get_training_dataset.sh
requirements.txt		requirements.txt
warmup_scheduler.py		warmup_scheduler.py

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Experiments

Experiments

P2_dataloader.py

P2_dataloader.py

P2_finetuning.py

P2_finetuning.py

P2_grade.py

P2_grade.py

P2_inference.py

P2_inference.py

P2_model.py

P2_model.py

P2_training.py

P2_training.py

README.md

README.md

Report.pdf

Report.pdf

Spec.pdf

Spec.pdf

byol_pytorch.py

byol_pytorch.py

get_training_dataset.sh

get_training_dataset.sh

requirements.txt

requirements.txt

warmup_scheduler.py

warmup_scheduler.py

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Self-Supervised Pretraining for Image Classification

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Self-Supervised Pretraining for Image Classification

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