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

Decode mental states from EEG signals using this PyTorch implementation of the EEG-Deformer convolutional transformer for brain-computer interfaces.

Decode EEG signals using this PyTorch implementation of a dense convolutional transformer for brain-computer interface applications.