wanggrun / Adaptively-Connected-Neural-Networks-Pytorch
This is the pytorch implementation of "Adaptively Connected Neural Networks" for the currently popular EfficientNet and the efficient DNA network families.
☆10Updated 5 years ago
Alternatives and similar repositories for Adaptively-Connected-Neural-Networks-Pytorch
Users that are interested in Adaptively-Connected-Neural-Networks-Pytorch are comparing it to the libraries listed below
Sorting:
- Channel Equilibrium Networks for Learning Deep Representation, ICML2020☆22Updated 4 years ago
- Pytorch implementation of "Compact Global Descriptor for Neural Networks" (CGD).☆25Updated 4 months ago
- Semi-supervised Adaptive Distillation is a model compression method for object detection.☆59Updated 5 years ago
- A prototype for distributed training/validation/evaluation/extraction with PyTorch.☆14Updated 4 years ago
- ☆37Updated 4 years ago
- [ICLR 2020] Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma, "I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifie…☆20Updated 3 years ago
- Pytorch code for our NeurIPS 2019 paper "Cross-channel Communication Networks"☆41Updated 5 years ago
- [CVPR 2020] Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives☆84Updated 4 years ago
- Implementation of NeurIPS2020 paper: Auto-Panoptic: Multi-Component Architecture Search for Panoptic Segmentation☆20Updated 4 years ago
- My implementation of Spectral-Feature-Transformation-ReID, link to the paper: https://arxiv.org/abs/1811.11405☆21Updated 6 years ago
- Loss Function Search for Face Recognition☆42Updated 4 years ago
- Pytorch 1.0 codes(including cuda codes) for Deformable Convolution Version 2☆18Updated 6 years ago
- This repository is the code for ARN in CVPR 2018 workshop☆23Updated 5 years ago
- The source code of the ECCV 2018 paper: Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxi…☆27Updated 6 years ago
- ☆49Updated 5 years ago
- Code of "Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches"☆22Updated 7 years ago
- A ShuffleBatchNorm layer to shuffle BatchNorm statistics across multiple GPUs☆56Updated 3 years ago
- Query Learning of Both Thing and Stuff for Panoptic Segmentation-ICIP-2022☆15Updated 2 years ago
- Active Self-Paced Learning for Cost-Effective and Progressive Face Identification☆17Updated 6 years ago
- [ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)☆45Updated 5 months ago
- PyTorch implementation for OD-cheap-convolution.☆20Updated 5 years ago
- This is a re-implementation of our KDD 2020 paper "Grammatically Recognizing Images with Tree Convolution."☆13Updated 4 years ago
- MXNet implementation of Non-Local and Squeeze-Excitation network☆24Updated 7 years ago
- Code for our paper "Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognitio…☆53Updated 3 years ago
- ☆10Updated 5 years ago
- Representative Graph Neural Network☆36Updated 4 years ago
- Implementation of "Spectral Feature Tansformation for Person Re-identification"☆31Updated 5 years ago
- The Pytorch implementation of "Location-aware Upsampling for Semantic Segmentation" (LaU)☆53Updated 5 years ago
- Define the feature distance☆46Updated 6 years ago
- [ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images☆43Updated 4 years ago