PyTorch implementation of Deformable ConvNets v2 (Modulated Deformable Convolution)
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            Updated
            
Apr 19, 2019  - Python
 
PyTorch implementation of Deformable ConvNets v2 (Modulated Deformable Convolution)
TensorFlow implementation of Deformable Convolutional Layer
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))
A repository with a basic layer of 3D deformable receptive field for 3D VoxCNN and 3D VoxResNet
Crowd counting Code for IEEE Access paper "DA-Net: Learning the fine-grained density distribution with deformation aggregation network"
A robust deformed CNN for image denoising (CAAI Transactions on Intelligence Technology,2022)
Pytorch implementation of Deformable Convolutional Network
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.
DeepFovea++: Reconstruction and Super-Resolution for Natural Foveated Rendered Videos (PyTorch).
Deformation-invariant line-level Handwritten Text Recognition (HTR) using a convolutional-only architecture.
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
Pure-Pytorch implementation of Deformable convolution
Leveraging Input-Level Feature Deformation with Guided-Attention for Sulcal Labeling
Video Frame Interpolation Based on Deformable Kernel Region (IJCAI 2022)
Semantic segmentation systems for the detection of retinal pathological fluid from OCT images
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