Slimmable ConvNeXt: Width-Adaptive Inference for Efficient Multi-Device Deployment

Deploying vision models across devices with varying resource constraints, or even on a single device where available compute fluctuates due to battery state, thermal throttling, or latency deadlines, typically requires training and maintaining separate models. Width-adaptive inference addresses this...