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Jeong-Hoe Ku's Projects

detnet_pytorch icon detnet_pytorch

An implementation of DetNet: A Backbone network for Object Detection.

detr icon detr

End-to-End Object Detection with Transformers

detrex icon detrex

detrex is a research platform for Transformer-based Object Detection algorithms including DETR (ECCV 2020), Deformable-DETR (ICLR 2021), Conditional-DETR (ICCV 2021), DAB-DETR (ICLR 2022), DN-DETR (CVPR 2022), DINO (arXiv 2022), etc.

diffusiondet icon diffusiondet

[ICCV2023] PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)

disan icon disan

Code of Directional Self-Attention Network (DiSAN)

distiller icon distiller

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

dnc icon dnc

A TensorFlow implementation of the Differentiable Neural Computer.

dnw icon dnw

Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)

docs icon docs

TensorFlow documentation

efficientdet icon efficientdet

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

efficientnet icon efficientnet

Implementation of EfficientNet model. Keras and TensorFlow Keras.

eye-gaze icon eye-gaze

Repository for Eye Gaze Detection and Tracking

face-analysis-sdk icon face-analysis-sdk

Facial detection, landmark tracking and expression transfer library for Windows, Linux and Mac

facedetection icon facedetection

C++ project to implement MTCNN, a perfect face detect algorithm, on different DL frameworks. The most popular frameworks: caffe/mxnet/tensorflow, are all suppported now

facerecognition icon facerecognition

This is an implematation project of face detection and recognition. The face detection using MTCNN algorithm, and recognition using LightenenCNN algorithm.

fairmot icon fairmot

A simple baseline for one-shot multi-object tracking

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