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Editor’s Note

The paper thread today: complementary multi-encoder VLMs, robust federated learning, vision-only super-resolution, and low-rank hypernets for unified chest CT.

1. Latest arXiv Papers

  1. CoME-VL: Scaling Complementary Multi-Encoder Vision-Language Models

  2. Enhancing Robustness of Federated Learning via Structured Aggregation

  3. VOSR: A Vision-Only Generative Model for Image Super-Resolution

  4. HyperCT: Low-Rank Hypernetwork for Unified Chest CT Reconstruction

  5. ProtoFlow: Mitigating Forgetting in Class-Incremental Learning

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