myeongjin-kim Goto Github PK

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)

ctci-solutions

Python solutions to Cracking the Coding Interview (6th edition)

da

Unsupervised Domain Adaptation Papers and Code

dapn

A pytorch implementation of "Domain-Adaptive Few-Shot Learning"

deep-active-learning

Deep Active Learning

deepksl

Real-time Object Detection을 통한 수화(지문자) 번역

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

drpc

dsbn

Implementation of "Domain Specific Batch Normalization for Unsupervised Domain Adaptation (CVPR2019)"

few-shot-semantic-segmentation-papers

Few Shot Semantic Segmentation Papers

generativeimagemodellingwithdnns

Here I will share the code from the lectures of the course: Generative Image Modelling with Deep Neural Networks taught in the Summer Term 2017 at the Graduate School for Neural Information Processing, University of Tuebingen.

hex

Example implementation for the paper: Learning Robust Representations by Projecting Superficial Statistics Out

jigendg

Repository for the CVPR19 oral paper "Domain Generalization by Solving Jigsaw Puzzles"

junior-recruit-scheduler

주니어 개발자 채용 정보

ldam-drw

[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

learning-texture-invariant-representation

Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation, CVPR 2020

myeongjin-kim.github.io

paper-study

par_experiments

Learning Robust Global Representations by Penalizing Local Predictive Power (NeurIPS 2019))

pr12

Youtube Deep Learning Presentation

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"✨

pytorch-tutorials-kr

PyTorch에서 제공하는 튜토리얼의 한국어 번역을 위한 저장소입니다. (Translate PyTorch tutorials in Korean.)