clovaai/rexnet
PyTorch implementation of ReXNet, an efficient neural network architecture for image classification and object detection.
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This repository provides the official PyTorch implementation of Rank eXpansion Network (ReXNet), a CVPR 2021 paper proposing an improved channel dimension configuration for efficient model design. The work focuses on optimizing the channel configuration parameterized by layer index to improve accuracy within computational cost constraints. It includes pretrained models supporting ImageNet classification, COCO object detection, instance segmentation, and transfer learning tasks.
Frequently asked
- What is clovaai/rexnet?
- PyTorch implementation of ReXNet, an efficient neural network architecture for image classification and object detection.
- Is rexnet open source?
- Yes — clovaai/rexnet is open source, released under the MIT license.
- What language is rexnet written in?
- clovaai/rexnet is primarily written in Python.
- How popular is rexnet?
- clovaai/rexnet has 449 stars on GitHub.
- Where can I find rexnet?
- clovaai/rexnet is on GitHub at https://github.com/clovaai/rexnet.