PyTorch implementation of Deformable ConvNets v2 (Modulated Deformable Convolution)

TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution, CVPR 2020

Faster R-CNN / R-FCN 💡 C++ version based on Caffe

Deformable Convolutional Networks on caffe

[FPGA'21] CoDeNet is an efficient object detection model on PyTorch, with SOTA performance on VOC and COCO based on CenterNet and Co-Designed deformable convolution.

Implementation of the paper : Deformable DETR: Deformable Transformers for End-to-End Object Detection (ICLR 2021)

Tensorflow and Keras implementation of Deformable ConvNet

Implement deformable convnet on MNIST using Tensorflow