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Kaijun Liu's Projects

keras-oneshot icon keras-oneshot

koch et al, Siamese Networks for one-shot learning, (mostly) reimplimented in keras

keras-yolo3 icon keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

lgm-net icon lgm-net

Tensorflow code for ICML 2019 paper: LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning

lsgan icon lsgan

This is the project for LS-GAN (Loss-Sensitive GAN)

lsgan-1 icon lsgan-1

Chainer implementation of Least Squares GAN (LSGAN)

mask-rcnn-keras icon mask-rcnn-keras

这是一个mask-rcnn的库,可以用于训练自己的实例分割模型。

medicaldetectiontoolkit icon medicaldetectiontoolkit

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

mobilenet-ssd-keras icon mobilenet-ssd-keras

这是一个mobilenet-ssd-keras的源码,可以用于训练自己的轻量级ssd模型。

nanodet icon nanodet

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 1.8mb and run 97FPS on cellphone🔥

negative-margin.few-shot icon negative-margin.few-shot

PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”

onenet icon onenet

OneNet: End-to-End One-Stage Object Detection

paddlevit icon paddlevit

:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

pytorch-loss icon pytorch-loss

label-smooth, amsoftmax, focal-loss, triplet-loss. Maybe useful

redo icon redo

Code for paper Unsupervised Object Segmentation by Redrawing

repulsion_loss_ssd icon repulsion_loss_ssd

Repulsion Loss: Detecting Pedestrians in a Crowd. https://arxiv.org/abs/1711.07752

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