facebookresearch / mobile-vision
Mobile vision models and code
☆911Updated last month
Alternatives and similar repositories for mobile-vision:
Users that are interested in mobile-vision are comparing it to the libraries listed below
- Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019☆917Updated 2 years ago
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,515Updated 4 years ago
- MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.☆696Updated 3 years ago
- [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware☆1,439Updated 7 months ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆440Updated last year
- Code for: "And the bit goes down: Revisiting the quantization of neural networks"☆633Updated 4 years ago
- (ECCV'2020 Oral)EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning☆308Updated 2 years ago
- Network Slimming (Pytorch) (ICCV 2017)☆915Updated 4 years ago
- Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours☆395Updated 4 years ago
- [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment☆1,908Updated last year
- ☆225Updated 3 years ago
- MobileNetV3 in pytorch and ImageNet pretrained models☆790Updated 5 years ago
- Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS☆1,569Updated 10 months ago
- 72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models☆698Updated 4 years ago
- PC-DARTS:Partial Channel Connections for Memory-Efficient Differentiable Architecture Search☆439Updated 4 years ago
- Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.☆568Updated 5 years ago
- This repo contains the official Pytorch reimplementation of the paper "NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Appl…☆183Updated last year
- Pruning Neural Networks with Taylor criterion in Pytorch☆317Updated 5 years ago
- Automated deep learning algorithms implemented in PyTorch.☆1,577Updated 3 years ago
- ☆262Updated 5 years ago
- PyTorch Implementation of DARTS: Differentiable Architecture Search☆447Updated 2 years ago
- PyTorch layer-by-layer model profiler☆606Updated 3 years ago
- [ICML2021] What Makes for End-to-End Object Detection☆651Updated last year
- MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.☆354Updated 4 years ago
- PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.☆429Updated last year
- Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"☆362Updated 5 years ago
- Collection of recent methods on (deep) neural network compression and acceleration.☆945Updated 3 weeks ago
- This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423☆1,041Updated 3 years ago
- ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting (ICCV 2021)☆294Updated 2 years ago
- real-time network architecture for mobile devices and semantic segmentation☆402Updated 2 years ago