Daniil-Osokin / fully-learnable-group-convolution.pytorchLinks
Implementation of "Fully Learnable Group Convolution for Acceleration of Deep Neural Networks", CVPR'19
☆33Updated 5 years ago
Alternatives and similar repositories for fully-learnable-group-convolution.pytorch
Users that are interested in fully-learnable-group-convolution.pytorch are comparing it to the libraries listed below
Sorting:
- ☆173Updated 5 years ago
- Dynamic Group Convolution for Accelerating Convolutional Neural Networks (ECCV 2020)☆127Updated 4 years ago
- PyTorch implementation of Dynamic Grouping Convolution and Groupable ConvNet with pre-trained G-ResNeXt models☆69Updated 5 years ago
- Resolution adaptive network☆153Updated 3 years ago
- unofficial implementation of CondConv: Conditionally Parameterized Convolutions for Efficient Inference in PyTorch.☆166Updated 2 years ago
- [ECCV'20 Oral] MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution☆159Updated 3 years ago
- [ IJCAI-20 ] Split to Be Slim: An Overlooked Redundancy in Vanilla Convolution☆128Updated 5 years ago
- MSDNet☆190Updated 4 years ago
- Code for AutoNL on ImageNet (CVPR2020)☆104Updated 5 years ago
- Reference implementation for Blueprint Separable Convolutions (CVPR 2020)☆138Updated 3 years ago
- Dynamic convolution Paper collection.☆106Updated 5 years ago
- Deforming kernels to adapt towards object deformation. In ICLR 2020.☆197Updated 5 years ago
- ☆25Updated 6 years ago
- ☆31Updated 6 years ago
- Code for Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference (CVPR2020)☆128Updated 4 years ago
- official code for dynamic convolution decomposition☆133Updated 4 years ago
- HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs simply implement☆44Updated 6 years ago
- [ICLR 2020]: 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'☆220Updated 5 years ago
- re-implement of Group ConvNet, also be called as G-ResNext. It's from the paper, reproduction of the paper "Differentiable Learning-to-Gr…☆21Updated 6 years ago
- PyTorch implementation of Res2Net☆114Updated 6 years ago
- TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)☆75Updated 4 years ago
- Pytorch code for paper: Learning Versatile Filters for Efficient Convolutional Neural Networks (NeurIPS 2018)☆79Updated 6 years ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆64Updated 3 years ago
- PyTorch implementation for GAL.☆56Updated 5 years ago
- A Pytorch Implementation for Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution☆30Updated 6 years ago
- PyTorch implementation of CondConv and MobileNetV2 model☆37Updated 5 years ago
- PyTorch implementation for Channel Distillation☆103Updated 5 years ago
- [TIP 2022] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, …☆107Updated 3 years ago
- Global Sparse Momentum SGD for pruning very deep neural networks☆43Updated 3 years ago
- ☆120Updated 5 years ago