facebookresearch / mobile-visionLinks
Mobile vision models and code
☆918Updated 2 months ago
Alternatives and similar repositories for mobile-vision
Users that are interested in mobile-vision are comparing it to the libraries listed below
Sorting:
- Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019☆926Updated 2 years ago
- [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment☆1,937Updated last year
- MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.☆698Updated 3 years ago
- Code for: "And the bit goes down: Revisiting the quantization of neural networks"☆631Updated 5 years ago
- [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware☆1,451Updated last year
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆445Updated 2 years ago
- (ECCV'2020 Oral)EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning☆309Updated 2 years ago
- 72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models☆718Updated 4 years ago
- Pruning Neural Networks with Taylor criterion in Pytorch☆320Updated 6 years ago
- Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours☆396Updated 4 years ago
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,516Updated 5 years ago
- Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS☆1,583Updated last year
- Network Slimming (Pytorch) (ICCV 2017)☆917Updated 5 years ago
- MobileNetV3 in pytorch and ImageNet pretrained models☆801Updated 6 years ago
- ☆229Updated 4 years ago
- This repo contains the official Pytorch reimplementation of the paper "NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Appl…☆187Updated 2 years ago
- This repository contains the source code of our work on designing efficient CNNs for computer vision☆415Updated last year
- MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.☆353Updated 5 years ago
- ☆298Updated 5 years ago
- AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch☆313Updated 6 years ago
- Collection of recent methods on (deep) neural network compression and acceleration.☆953Updated 7 months ago
- PC-DARTS:Partial Channel Connections for Memory-Efficient Differentiable Architecture Search☆440Updated 5 years ago
- 74.3% MobileNetV3-Large and 67.2% MobileNetV3-Small model on ImageNet☆565Updated 2 years ago
- PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference☆885Updated 6 years ago
- [ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan …☆531Updated 2 years ago
- Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"☆364Updated 5 years ago
- Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)☆478Updated 11 months ago
- Codebase for Image Classification Research, written in PyTorch.☆2,165Updated last year
- PyTorch Implementation of DARTS: Differentiable Architecture Search☆449Updated 3 years ago
- Papers for deep neural network compression and acceleration☆403Updated 4 years ago