TASK |
CV1 |
CV2 |
NLP1 |
NLP2 |
코드 |
1주차 |
InceptionV2/3 |
SPPNet |
Seq2Seq |
Attention |
[ VGG16 ] Inference Line by Line Architecture구현 |
2주차 |
MobileNet |
Faster-RCNN |
Transformer |
ELMO |
[ VGG16 ] 데이터셋 변경 Dataset class 만들기 |
3주차 |
U-Net |
YOLO |
GPT-1 |
BERT |
[ U-Net ] Line by Line 주석달기 Inference |
4주차 |
EfficientNet |
RetinaNet |
RoBERTa |
BART |
[ Unet ] Architecture 구현 데이터셋 변경 |
5주차 |
SegNet |
VAE |
MASS |
MTDNN |
[ Unet ] Overlap-tile mirroring 구현 |
6주차 |
Mask-RCNN |
GAN |
XLNet |
ALBERT | [ Transformer ] Line by Line 주석달기 Inference
|
7주차 |
CycleGAN |
StarGAN |
T5 |
DeBERTa |
[ Transformer ] Architecture 만들기 |
8주차 |
Taskonomy |
Noisy Student Training |
ELECTRA |
GPT-3 |
[ Transformer ] train,util 만들기 |
9주차 |
ETC |
ETC |
ETC |
ETC |
[ Competition ] ? |