Spark001 / AsymmNet
[MAI@CVPR 2021] AsymmNet: Towards ultralight convolution neural networks using asymmetrical bottlenecks.
☆27Updated 10 months ago
Alternatives and similar repositories for AsymmNet:
Users that are interested in AsymmNet are comparing it to the libraries listed below
- Implementation of Sparse Shift Layer and Active Shift Layer (3D, 4D, 5D tensors) for PyTorch(CPU,GPU)☆34Updated 3 years ago
- Official implementation of ExpandNets (NeurIPS2020)☆37Updated 3 years ago
- Codes for ACMMM 2021 paper "Fully Quantized Image Super-Resolution Networks".☆19Updated 3 years ago
- ☆10Updated 5 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters☆22Updated 4 years ago
- PyTorch implementation of Guided Image Filtering☆37Updated 4 years ago
- Unified Architecture Search with Convolution, Transformer, and MLP (ECCV 2022)☆53Updated 2 years ago
- official code for dynamic convolution decomposition☆131Updated 3 years ago
- Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression" ICCV2019☆18Updated 3 years ago
- Rectified Convolution☆45Updated 2 years ago
- [ICLR'22] PyTorch code for our paper "Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning"☆27Updated 2 years ago
- [ECCV2022] Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution☆26Updated 2 years ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆63Updated 3 years ago
- PArameterized Max Scale☆58Updated 3 years ago
- Pytorch implementation of our paper accepted by NeurIPS 2021 -- Revisiting Discriminator in GAN Compression: A Generator-discriminator Co…☆35Updated 3 years ago
- The official repo of the CVPR2021 oral paper: Representative Batch Normalization with Feature Calibration☆86Updated 2 years ago
- [ACCV2022 (Oral)] Efficient Hardware-aware Neural Architecture Search for Image Super-resolution on Mobile Devices☆18Updated 2 years ago
- This is the official implementation of "DHP: Differentiable Meta Pruning via HyperNetworks".☆59Updated 3 years ago
- S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)☆64Updated 3 years ago
- Official implementation for paper "DyRep: Bootstrapping Training with Dynamic Re-parameterization", CVPR 2022☆43Updated 2 years ago
- [CVPR 2022] Learnable Lookup Table for Neural Network Quantization☆39Updated 2 years ago
- Faster depthwise convolutions for PyTorch☆65Updated 5 years ago
- Reducing Channel Redundancy in Convolutional Neural Networks by Features Recombining (TIP 2021)☆18Updated 2 years ago
- ☆76Updated 3 years ago
- ☆30Updated 3 years ago
- Cyclic Differentiable Architecture Search☆36Updated 3 years ago
- This is the implementaion of paper "Task-Oriented Feature Distillation"☆43Updated 2 years ago
- MobileFormer in torch☆66Updated 3 years ago
- PyTorch-Implementation of "Data-Driven Sparse Structure Selection for Deep Neural Networks"☆20Updated 5 years ago
- [NeurIPS'21 Spotlight] Aligned Structured Sparsity Learning for Efficient Image Super-Resolution (PyTorch)☆61Updated 3 years ago