Pinned Repositories
adversarial-attacks
Code for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"
Atom-Test
awesome-adversarial-examples-dl
A curated list of awesome resources for adversarial examples in deep learning
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
Brightness-Sync
Synchronize the brightness of your built-in display with your LG UltraFine display(s)
CCT
[CVPR 2020] Semi-Supervised Semantic Segmentation with Cross-Consistency Training
CloserLookFewShot
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
CrossDomainFewShot
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)
CRST
Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)
Learning-Texture-Invariant-Representation
Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation, CVPR 2020
MyeongJin-Kim's Repositories
MyeongJin-Kim/Learning-Texture-Invariant-Representation
Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation, CVPR 2020
MyeongJin-Kim/Atom-Test
MyeongJin-Kim/awesome-adversarial-examples-dl
A curated list of awesome resources for adversarial examples in deep learning
MyeongJin-Kim/Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
MyeongJin-Kim/Brightness-Sync
Synchronize the brightness of your built-in display with your LG UltraFine display(s)
MyeongJin-Kim/CCT
[CVPR 2020] Semi-Supervised Semantic Segmentation with Cross-Consistency Training
MyeongJin-Kim/CloserLookFewShot
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
MyeongJin-Kim/CrossDomainFewShot
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)
MyeongJin-Kim/CRST
Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)
MyeongJin-Kim/ctci-solutions
Python solutions to Cracking the Coding Interview (6th edition)
MyeongJin-Kim/DA
Unsupervised Domain Adaptation Papers and Code
MyeongJin-Kim/DAPN
A pytorch implementation of "Domain-Adaptive Few-Shot Learning"
MyeongJin-Kim/detectron2
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
MyeongJin-Kim/DRPC
MyeongJin-Kim/DSBN
Implementation of "Domain Specific Batch Normalization for Unsupervised Domain Adaptation (CVPR2019)"
MyeongJin-Kim/Few-Shot-Semantic-Segmentation-Papers
Few Shot Semantic Segmentation Papers
MyeongJin-Kim/HEX
Example implementation for the paper: Learning Robust Representations by Projecting Superficial Statistics Out
MyeongJin-Kim/JigenDG
Repository for the CVPR19 oral paper "Domain Generalization by Solving Jigsaw Puzzles"
MyeongJin-Kim/junior-recruit-scheduler
주니어 개발자 채용 정보
MyeongJin-Kim/LDAM-DRW
[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
MyeongJin-Kim/MyeongJin-Kim.github.io
MyeongJin-Kim/Paper-study
MyeongJin-Kim/PAR_experiments
Learning Robust Global Representations by Penalizing Local Predictive Power (NeurIPS 2019))
MyeongJin-Kim/pr12
Youtube Deep Learning Presentation
MyeongJin-Kim/Python-and-Algorithms-and-Data-Structures
✨Algorithms & Data Structure in Python book (published by Hanbit Media, Inc.) - Python solutions for every exercises from "Cracking the Code Interview"✨
MyeongJin-Kim/PyTorch-tutorials-kr
PyTorch에서 제공하는 튜토리얼의 한국어 번역을 위한 저장소입니다. (Translate PyTorch tutorials in Korean.)
MyeongJin-Kim/PytorchNeuralStyleTransfer
Implementation of Neural Style Transfer in Pytorch
MyeongJin-Kim/self-supervised-da
self-supervised domain adaptation
MyeongJin-Kim/SimSiam
A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'
MyeongJin-Kim/Transferable-Adversarial-Training
Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML2019)