21 May 2025 in Blog / DL on Fully convolutional network(fcn) , Fcn-32s , Fcn-16s , Fcn-8s , Vgg , Transposed convolution , Skip connection Semantic Segmentation을 위한 FCN 모델의 핵심 구조와 개념을 상세히 분석. VGG 기반의 인코더 구조부터 FC Layer의 Conv화, Transposed Convolution, Skip Connection을 이용한 FCN-32s/16s/8s의 성능 개선 원리까지 코드와 함께 정리
FCN(Fully Convolution Network) FCN 논문 리뷰 — Fully Convolutional Networks for Semantic Segmentation FCN BoostCampAITECH
DETR 논문 리뷰 Swin 논문 리뷰 BoostCampAITECH
Understanding LSTM Networks BoostCampAITECH
07 May 2025 in Blog / DL on Vision transformer , Vit ViT정리
Vision Transformer(1) 논문리뷰: An Image is Worth 16X16 Words: Transformers for Image Recognition at Scale BoostCampAITECH
07 May 2025 in Blog / DL on Transformer , Self-attention Transformer 구조 정리
Transformer The Illustrated Transformer BoostCampAITECH
05 May 2025 in Blog / DL on Cascade rcnn , Dcn Cascade R-CNN과 DCN
DCN 리뷰 BoostCampAITECH
WRN EfficientNet and EfficientDet BoostCampAITECH
BoostCampAITECH
03 May 2025 in Blog / DL on Zfnet , Cam , Grad-cam , Gap CNN Viz 방법들
GAP BoostCampAITECH
03 May 2025 in Blog / ALGORITHM on 최단 경로 , Floyd-warshall Floyd-Warshall
플로이드-워셜(Floyd-Warshall) 알고리즘 플로이드 와샬 알고리즘
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