PyTorch implementation of Deformable Convolution

Last update: Dec 16, 2022

Overview

Deformable Convolutional Networks in PyTorch

This repo is an implementation of Deformable Convolution. Ported from author's MXNet implementation.

Build

sh make.sh
CC=g++ python build.py

See test.py for example usage.

Notice

Only torch.cuda.FloatTensor is supported.

Owner

GitHub Repository

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PyTorch implementation of Deformable Convolution

Related tags

Overview

Deformable Convolutional Networks in PyTorch

Build

Notice

Owner

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PyTorch implementation of Deformable Convolution

Related tags

Overview

Deformable Convolutional Networks in PyTorch

Build

Notice

Owner

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code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren*, Raymond A. Yeh*, Alexander G. Schwing.

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