Geonuk Kim (mandal4)

mandal4

Geek Repo

Location:Seoul

Home Page:geonuk_kim@korea.ac.kr

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Geonuk Kim's starred repositories

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Detic

Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".

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attmask

[ECCV 2022] What to Hide from Your Students: Attention-Guided Masked Image Modeling

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pren

Code for "Primitive Representation Learning for Scene Text Recognition" (CVPR 2021)

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supmae

This is a offical PyTorch/GPU implementation of SupMAE.

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model-soups

Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

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natural-adv-examples

A Harder ImageNet Test Set (CVPR 2021)

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AdaContrast

Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"

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synthtiger

Official Implementation of SynthTIGER (Synthetic Text Image Generator), ICDAR 2021

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ssl-transfer

Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"

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DETReg

Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".

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awesome-few-shot-object-detection

Leaderboard, taxonomy, and curated list of few-shot object detection papers.

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Multicore-TSNE

Parallel t-SNE implementation with Python and Torch wrappers.

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Eagleeye_Tensorflow

Eagleeye: fast sub-net evaluation for efficient neural network pruning with Tensorflow keras

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Grad-CAM.pytorch

pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...

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faster-rcnn-gcn

A faster pytorch implementation of faster r-cnn

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maskrcnn-benchmark-latentgnn

maskrcnn with Latent Graph Neural Network, experiments of "LatentGNN"(ICML2019)

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context_aug

Context-driven data augmentation for Object Detection (ECCV'18)

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Interpretable-Explanations-of-Black-Boxes-by-Meaningful-Perturbation

Interpretable Explanations of Black Boxes by Meaningful Perturbation Pytorch

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GradCAM_PyTorch

GradCAM Pytorch

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FewShotDetection

(ECCV 2020) PyTorch implementation of paper "Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild"

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MPSR

Multi-scale Positive Sample Refinement for Few-shot Object Detection, ECCV2020

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Relation-Networks-for-Object-Detection

Relation Networks for Object Detection

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FCOS_PLUS

Some improvements (center sample) about FCOS (FCOS: Fully Convolutional One-Stage Object Detection).

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few-shot-object-detection

Implementations of few-shot object detection benchmarks

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awesome-grounding

awesome grounding: A curated list of research papers in visual grounding

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