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Name: LEE, JIHO
Type: User
Company: INCHEON NATIONAL UNIVERSITY
Bio: Hi
Location: Incheon, South Korea
Name: LEE, JIHO
Type: User
Company: INCHEON NATIONAL UNIVERSITY
Bio: Hi
Location: Incheon, South Korea
Try to get some insights about Quantization
my practice
Pytorch implementation of BRECQ, ICLR 2021
Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
DB수업 API이용한 팀 프로젝트
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
[IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer
[ICCV 2023] I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference
vision transformer; post-training quantization; model compression; ViT
Sorry, This repository has become a tmp. See <MyResNet> Repo. [Jan 19 2024]
create mycnn
Create ResNet
[CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric
How to run <Pseudo LiDAR> ? See my .ipynb file
<Real Time Vision Based LiDAR> // Ideas and skeleton codes are from <Pseudo LiDAR>, and Disparity DL code is <CoEx>.
Post-Training Quantization for Vision transformers.
인천대학교 임베디드시스템공학과 2023년도 학회비 장부
txt file 번역기
[ICCV 2023] RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers
우주전파환경AI경진대회
화려한 선형시스템 프로젝트과제
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
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