AI RESEARCH
Slimmable ConvNeXt: Width-Adaptive Inference for Efficient Multi-Device Deployment
arXiv CS.CV
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ArXi:2605.22677v1 Announce Type: new 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