Jeong-Hoe Ku (mrku69)

mrku69

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Company:Samsung Elec.

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Jeong-Hoe Ku's repositories

CenterNet

Object detection, 3D detection, and pose estimation using center point detection:

License:MITStargazers:0Issues:0Issues:0

mediapipe

MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.

License:Apache-2.0Stargazers:0Issues:0Issues:0

Towards-Realtime-MOT

Joint Detection and Embedding for fast multi-object tracking

License:MITStargazers:0Issues:0Issues:0

DetectoRS

DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution

License:Apache-2.0Stargazers:0Issues:0Issues:0

StatAssist-GradBoost

A Study on Optimal INT8 Quantization-aware Training from Scratch

License:MITStargazers:0Issues:0Issues:0

dash-detr

A User Interface for DETR built with Dash. 100% Python.

Stargazers:0Issues:0Issues:0

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

License:Apache-2.0Stargazers:0Issues:0Issues:0

detr

End-to-End Object Detection with Transformers

License:Apache-2.0Stargazers:0Issues:0Issues:0

ATSS

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection, CVPR, Oral, 2020

License:NOASSERTIONStargazers:0Issues:0Issues:0

structure_knowledge_distillation

The official code for the paper 'Structured Knowledge Distillation for Semantic Segmentation'. (CVPR 2019 ORAL) and extension to other tasks.

License:BSD-2-ClauseStargazers:0Issues:0Issues:0

pycls

Codebase for Image Classification Research, written in PyTorch.

License:MITStargazers:0Issues:0Issues:0

FairMOT

A simple baseline for one-shot multi-object tracking

License:MITStargazers:0Issues:0Issues:0

TResNet

TResNet: High Performance GPU-Dedicated Architecture

License:Apache-2.0Stargazers:0Issues:0Issues:0

Zooming-Slow-Mo-CVPR-2020

Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)

License:GPL-3.0Stargazers:0Issues:0Issues:0

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

License:Apache-2.0Stargazers:0Issues:0Issues:0

iou-tracker

Python implementation of the IOU Tracker

License:MITStargazers:0Issues:0Issues:0
License:Apache-2.0Stargazers:0Issues:0Issues:0

Stand-Alone-Self-Attention

Implementing Stand-Alone Self-Attention in Vision Models using Pytorch

License:MITStargazers:0Issues:0Issues:0

mmdetection

Open MMLab Detection Toolbox and Benchmark

License:Apache-2.0Stargazers:0Issues:0Issues:0

knowledge-distillation-pytorch

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

License:MITStargazers:0Issues:0Issues:0

Awesome-Knowledge-Distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2020)。

Stargazers:0Issues:0Issues:0

efficientdet

(Pretrained weights provided) EfficientDet: Scalable and Efficient Object Detection implementation by Signatrix GmbH

License:MITStargazers:0Issues:0Issues:0

Libra_R-CNN

Code for CVPR 2019 paper "Libra R-CNN: Towards Balanced Learning for Object Detection"

License:Apache-2.0Stargazers:0Issues:0Issues:0

EfficientDet.Pytorch

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

License:MITStargazers:0Issues:0Issues:0

overhaul-distillation

Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)

License:MITStargazers:0Issues:0Issues:0

EfficientNet-PyTorch

A PyTorch implementation of EfficientNet

License:Apache-2.0Stargazers:0Issues:0Issues:0

deep-text-recognition-benchmark

Text recognition (optical character recognition) with deep learning methods.

License:Apache-2.0Stargazers:0Issues:0Issues:0

OctaveConv_pytorch

Pytorch implementation of newly added convolution

License:MITStargazers:0Issues:0Issues:0

3-min-pytorch

<펭귄브로의 3분 딥러닝, 파이토치맛> 예제 코드

License:MITStargazers:0Issues:0Issues:0

pytorch-mobilenet-v2

A PyTorch implementation of MobileNet V2 architecture and pretrained model.

License:Apache-2.0Stargazers:0Issues:0Issues:0