DetNAS
DetNAS
**DetNAS** is a [neural architecture search](https://paperswithcode.com/method/neural-architecture-search) algorithm for the design of better backbones for object detection. It is based on the technique of one-shot supernet, which contains all possible networks in the search space. The supernet is trained under the typical detector training schedule: ImageNet pre-training and detection fine-tuning. Then, the architecture search is performed on the trained supernet, using the detection task as the guidance. DetNAS uses evolutionary search as opposed to RL-based methods or gradient-based methods.
DetNAS: Backbone Search for Object Detection
https://paperswithcode.com/paper/detnas-neural-architecture-search-on-object
DetNAS: Backbone Search for Object Detection