d-li14 / octconv.pytorch
PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models
☆294Updated 4 years ago
Alternatives and similar repositories for octconv.pytorch:
Users that are interested in octconv.pytorch are comparing it to the libraries listed below
- Pytorch implementation of newly added convolution☆588Updated 5 years ago
- PyTorch Implementation of Deformable Convolution☆287Updated 7 years ago
- Code for paper☆560Updated 3 years ago
- Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)☆332Updated 4 years ago
- Code and pretrained models for LIP: Local Importance-based Pooling (ICCV 19)☆220Updated 3 years ago
- Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.☆594Updated 4 years ago
- [ECCV 2020] PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer☆176Updated 4 years ago
- ☆172Updated 4 years ago
- [BMVC2020 Best Paper Award] Official Implementation for Delving deeper into anti-aliasing in convnets☆194Updated 3 years ago
- ☆176Updated 4 years ago
- Implementation of Dynamic ReLU on Pytorch☆204Updated 5 years ago
- Reference implementation for Blueprint Separable Convolutions (CVPR 2020)☆138Updated 2 years ago
- The official PyTorch implementation of CVPR 2020 paper "Improving Convolutional Networks with Self-Calibrated Convolutions"☆384Updated 4 years ago
- semantic segmentation,pytorch,non-local☆312Updated 5 years ago
- Code for our CVPR 2019 paper: Selective Kernel Networks; See zhihu:https://zhuanlan.zhihu.com/p/59690223☆605Updated 6 years ago
- The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)☆680Updated 4 years ago
- Implementation of OctConv in Pytorch (https://arxiv.org/abs/1904.05049)☆214Updated 6 years ago
- Deforming kernels to adapt towards object deformation. In ICLR 2020.☆198Updated 5 years ago
- Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones☆198Updated 4 years ago
- A Pytorch implementation for the paper Local Relational Networks for Image Recognition (https://arxiv.org/pdf/1904.11491.pdf)☆113Updated 3 years ago
- ☆136Updated 2 years ago
- Tensor Low-rank Reconstruction for Semantic Segmentation☆109Updated 4 years ago
- Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)☆247Updated 2 years ago
- [ECCV'20 Oral] MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution☆158Updated 2 years ago
- Implementation of Pyramid Attention Networks for Semantic Segmentation.☆236Updated 6 years ago
- Implementing Stand-Alone Self-Attention in Vision Models using Pytorch☆455Updated 5 years ago
- Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)☆417Updated 4 years ago
- try to implement the CVPR 2019 paper "Selective Kernel Networks" by PyTorch☆375Updated 5 years ago
- Densely Connected Search Space for More Flexible Neural Architecture Search (CVPR2020)☆294Updated 4 years ago
- Bottleneck Transformers for Visual Recognition☆278Updated 4 years ago