Comments (3)
Hi,
Thanks for the interest in our work!
The major components of SeqCLR are implemented in this codebase. In particular:
- The data loader is implemented in
ImageDatasetSelfSupervised
. - The augmentation pipeline in
get_augmentation_pipeline
withaugmentation_severity=2
. - The projection module and the instance mapping function are implemented in
SeqCLRProj
. - Lastly, the loss function is implemented in
SeqCLRLoss
.
The main difference of this codebase with SeqCLR is the base architecture, on which we apply SeqCLR. In the paper, we used SCATTER, and here, we employ ABI-Net.
In addition, here, we offer a combined stage of SeqCLR with supervised CE (this can be removed in the config).
from semimtr-text-recognition.
Hi, Thanks for the interest in our work!
The major components of SeqCLR are implemented in this codebase. In particular:
- The data loader is implemented in
ImageDatasetSelfSupervised
.- The augmentation pipeline in
get_augmentation_pipeline
withaugmentation_severity=2
.- The projection module and the instance mapping function are implemented in
SeqCLRProj
.- Lastly, the loss function is implemented in
SeqCLRLoss
.The main difference of this codebase with SeqCLR is the base architecture, on which we apply SeqCLR. In the paper, we used SCATTER, and here, we employ ABI-Net. In addition, here, we offer a combined stage of SeqCLR with supervised CE (this can be removed in the config).
Thank you for your reply, I am very interested in your work, I try to use seqclr to do captcha recognition, I hope to get a powerful pre-trained model.
from semimtr-text-recognition.
Sounds interesting, good luck!
from semimtr-text-recognition.
Related Issues (14)
- Question about training time. HOT 1
- The shape of projector's input HOT 5
- Question about frame-to-instance implemenation HOT 1
- semimtr_finetune without language model use HOT 2
- About EMA HOT 3
- I run !pip install -r requirements.txt then i config for mine then i run into this error.
- Question about other languages support HOT 1
- NaN in input tensor HOT 2
- Why still calculate loss when conducting evaluation? and IndexError reported also HOT 5
- imgaug augmenters HOT 1
- Training stopped after 5 epochs while Semimtr finetuning HOT 2
- Evaluation results? HOT 1
- Image Size in One Batch. HOT 2
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from semimtr-text-recognition.