DL| shotshotshot(zero, one, few)
in Blog / DL on Zero shot, One shot, Few shot
Zero shot, One shot, Few shot에 대해서
One-shot / Few-shot / Zero-shot Learning 생성 AI의 학습 방식: 제로샷·원샷·퓨샷 러닝 BoostCampAITECH
DL| Monocular Depth Estimation, Depth Anything
in Blog / DL on Monocular depth estimation, Depth anything
Monocular Depth Estimation
20190416 Monocular Depth Estimation Junho Choi Deep Learning 기반 Depth Estimation with Mono Camera Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data Depth Estimation의 평가 지표 Monocular Depth Estimation using ZoeDepth : Our Experience
DL| You Only Look Once(YOLO)
in Blog / DL on Yolo
You Only Look Once(YOLO)
YOLO 버전 - Yolo v1부터 Yolo v8까지 Yolo V5 - Deep learning YOLO-World: Real-Time Open-Vocabulary Object Detection BoostCampAITECH
DL| 2-stage detectors
in Blog / DL on R-cnn, Sppnet, Fast r-cnn, Faster r-cnn, Mask r-cnn, Roi projection, Roi pooling, Roi align, Rpn, Nms, Anchor box, Spp
R-CNN에서 Mask R-CNN까지의 발전
RCNN을 알아보자 SPPnet리뷰 Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition RoI Pooling NMS (Non-Maximum Suppression) & Anchor box Mask R-CNN 논문(Mask R-CNN) 리뷰 Mask R-CNN 리뷰 RoIPool과 RoIAlign 차이는? BoostCampAITECH
DL| 1, 2 Stage Detector(Region Proposal, anchor box)
in Blog / DL on 1 stage detector, 2 stage detector
1, 2 - Stage Detector 차이
Architecture - 1 or 2 stage detector 차이 Selective Search (선택적 탐색) 시나브로_개발자 성장기:티스토리 C_3.01 Anchor Boxes
DL| Pytorch
in Blog / DL on Pytorch
Pytorch(tensorflow 차이, 연산, 구성요소, 클래스, ray,…)
DL| AlexNet, VGGNet, GoogLeNet, ResNet 및 Beyond
in Blog / DL on Alexnet, Vggnet, Googlenet, Resnet
CNN Architecture에서 AlexNet부터 ResNet, 이후 모델들
SENet(Squeeze and excitation networks BoostCampAITECH
ImageProcessing| Histogram Equalization, CLAHE
in Blog / ImageProcessing on Histogram equalization, Clhae, Interpolation
Histogram Equalization, CLAHE 이해하기
김동근 교수님, 파이썬으로 배우는 OpenCV 위키피디아 Histogram Equalization 선형 보간법(linear, bilinear, trilinear interpolation) linear, bilinear, inetrpolation 개념 정리
DL| ONNX
in Blog / DL on Onnx
ONNX
PyTorch를 ONNX로 export하기 (선택) PyTorch 모델을 ONNX으로 변환하고 ONNX 런타임에서 실행하기 Model Inference with ONNX
ML| 데이터 불균형을 위한 SMOTE
in Blog / ML on Smote
SMOTE