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Consommé: Conditioned Token Merging for Split Inference

Paper recorded by Signals 4 on 2026-10-23 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-23 on arXiv · recorded by Signals 4 on 2026-10-26

Category: cs.CV · 计算机视觉 · first seen 2026-10-26

Abstract

Split inference partitions a Vision Transformer between a resource-constrained edge device and a server. However, transmitting intermediate tokens across the communication channel is costly. Deploying fine-tuned backbones to every endpoint becomes expensive as well. We study token reduction for split inference under a frozen backbone, where only a small adapter is shipped. We observe that the CLS

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#168 most recent of 756 cs.CV papers we have recorded · ↑ newer: CompMVR: Compression-Aware Multi-View Restoration Using Diffusion Mode · ↓ older: SREdit: Scene Response Guided Appearance Editing for Projection Mappin
Cite this page: Consommé: Conditioned Token Merging for Split Inference: the #168 most recent of 756 cs.CV papers we have recorded (as of 2026-10-23). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/consomm-conditioned-token-merging-for-split-inference.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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