nachiket273 / pytorch_resnet_rs
Pytorch implementation of "Revisiting ResNets: Improved Training and Scaling Strategies"(https://arxiv.org/pdf/2103.07579.pdf)
☆32Updated 2 years ago
Alternatives and similar repositories for pytorch_resnet_rs:
Users that are interested in pytorch_resnet_rs are comparing it to the libraries listed below
- ☆70Updated 4 years ago
- Multi-label classification based on timm.☆118Updated 3 years ago
- Pytorch implementation of BAM("BAM: Bottleneck Attention Module", BMVC18) and CBAM(“CBAM: Convolutional Block Attention Module”, ECCV18)☆31Updated 3 years ago
- ☆31Updated 3 years ago
- Covid-19 Detection Experiments☆36Updated 3 years ago
- ☆135Updated 3 years ago
- Cassava leaf disease classification with CNNs and Transformers (top-1% Kaggle solution)☆42Updated 2 years ago
- PyTorch implementation of ResNeSt : Split-Attention Networks☆18Updated 4 years ago
- A Keras implementation of hybrid efficientnet swin transformer model.☆33Updated last year
- Applied Self Supervised Learning techniques such as Jigsaw as pretext task, SRGAN and SimCLR for fine-grained classification☆37Updated last year
- ☆52Updated 4 years ago
- Localization of thoracic abnormalities model based on VinBigData (top 1%)☆44Updated 4 years ago
- Implementation of Convolutional enhanced image Transformer☆104Updated 4 years ago
- How to train an instance segmentation model with mmdetection☆29Updated 5 years ago
- Repository for MICCAI 2021 paper Balanced-MixUp for Highly Imbalanced Medical Image Classification☆70Updated 2 years ago
- The PyTorch re-implement of the official DETR.☆41Updated last year
- 论文复现，多机多卡☆49Updated 3 years ago
- A PyTorch implementation of CMT based on paper CMT: Convolutional Neural Networks Meet Vision Transformers.☆70Updated 2 years ago
- SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)☆129Updated 4 years ago
- Solution for the Sartorius - Cell Instance Segmentation competition☆22Updated 3 years ago
- Gcam is an easy to use Pytorch library that makes model predictions more interpretable for humans. It allows the generation of attention…☆49Updated 4 years ago
- Pytorch unofficial implementation of CMT☆13Updated 3 years ago
- code for kaggle: UW-Madison GI Tract Image Segmentation☆93Updated 2 years ago
- A summarization of Transformer-based architectures for CV tasks, including image classification, object detection, segmentation, and Few-…☆109Updated 2 years ago
- EfficientNetV2 implementation using PyTorch☆129Updated 2 years ago
- A PyTorch 1.0 Implementation of Unet with EfficientNet as encoder☆158Updated 4 years ago
- Solution of Kaggle competition: Sartorius - Cell Instance Segmentation☆86Updated 3 years ago
- (ICCV 2021 Oral) CoaT: Co-Scale Conv-Attentional Image Transformers☆231Updated 3 years ago
- Code for paper "Learning Semantically Enhanced Feature for Fine-grained Image Classification"☆32Updated 4 years ago
- Build U-Nets for segmentation from pre-trained TorchVision models.☆91Updated 5 years ago