DCNN: Deformable Convolutional Neural Network Implementation from scratch
-
Updated
Aug 8, 2024 - Jupyter Notebook
DCNN: Deformable Convolutional Neural Network Implementation from scratch
Video Frame Interpolation Based on Deformable Kernel Region (IJCAI 2022)
Semantic segmentation systems for the detection of retinal pathological fluid from OCT images
2D and 3D deformable CNN Autoencoders
Pure-Pytorch implementation of Deformable convolution
Leveraging Input-Level Feature Deformation with Guided-Attention for Sulcal Labeling
Object Detector for Autonomous Vehicles Based on Improved Faster-RCNN
[ECCVW 2022] Model proposed by the IVL team for the AIM 2022 challenge on super-resolution of compressed videos
Tensorflow and Keras implementation of Deformable ConvNet
Deformation-invariant line-level Handwritten Text Recognition (HTR) using a convolutional-only architecture.
DeepFovea++: Reconstruction and Super-Resolution for Natural Foveated Rendered Videos (PyTorch).
Light-weight Deformable Registration using Adversarial Learning with Distilling Knowledge (IEEE Transactions on Medical Imaging 2021))
Pytorch implementation of 2D and 3D deformable convolution specified in https://arxiv.org/abs/1703.06211.
Pytorch implementation of Deformable Convolutional Network
A robust deformed CNN for image denoising (CAAI Transactions on Intelligence Technology,2022)
This is the official PyTorch implementation of DehazeDCT. Our method achieves the second best performance in NTIRE 2024 Dense and NonHomogeneous Dehazing Challenge (CVPR workshop))
Crowd counting Code for IEEE Access paper "DA-Net: Learning the fine-grained density distribution with deformation aggregation network"
A repository with a basic layer of 3D deformable receptive field for 3D VoxCNN and 3D VoxResNet
TensorFlow implementation of Deformable Convolutional Layer
deformable convolution 2D 3D DeformableConvolution DeformConv Modulated Pytorch CUDA
Add a description, image, and links to the deformable-convolutional-networks topic page so that developers can more easily learn about it.
To associate your repository with the deformable-convolutional-networks topic, visit your repo's landing page and select "manage topics."