weihua93

weihua93

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deeplabv3

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

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open-aff

code and trained models for "Attentional Feature Fusion"

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R-CenterNet

detector for rotated-objections based on CenterNet/基于CenterNet的旋转目标检测

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python-pcl

Python bindings to the pointcloud library (pcl)

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cocoapi

COCO API - Dataset @ http://cocodataset.org/

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interpretability-by-parts

[CVPR 2020 Oral] Interpretable and Accurate Fine-grained Recognition via Region Grouping

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darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

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TSD

1st place models in Google OpenImage Detection Challenge 2019

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fine-grained2019AAAI

pytorch implementation of Fine-grained Recognition: Accounting for Subtle Differences between Similar Classes

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pytorch-segmentation

PyTorch implementation for semantic segmentation (DeepLabV3+, UNet, etc.)

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GMIC

An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

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Multi-Scale-Attention

Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"

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AtLoc

AtLoc: Attention Guided Camera Localization

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bmvc_2019

PyTorch code for our BMVC 2019 paper "Image Classification with Hierarchical Multigraph Networks"

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NTS-Net

This is a PyTorch implementation of the ECCV2018 paper "Learning to Navigate for Fine-grained Classification" (Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang).

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pytorch-FCN-easiest-demo

PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).

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DFL-CNN

This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition

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Faster-RCNN_TF

Faster-RCNN in Tensorflow

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Chromosome-Segmentation

Chromosome image segmentation using Keras

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