mlsanityData to 7 Oct 2026

C-RADIOv4 (Tech Report)

arXiv 2601.17237 ↗First posted 24 Jan 2026cs.CVcited by 10

Not on the map. Why?

Abstract (arXiv)

By leveraging multi-teacher distillation, agglomerative vision backbones provide a unified student model that retains and improves the distinct capabilities of multiple teachers. In this tech report, we describe the most recent release of the C-RADIO family of models, C-RADIOv4, which builds upon AM-RADIO/RADIOv2.5 in design, offering strong improvements on key downstream tasks at the same computational complexity. We release -SO400M (412M params), and -H (631M) model variants, both trained with an updated set of teachers: SigLIP2, DINOv3, and SAM3. In addition to improvements on core metrics and new capabilities from imitating SAM3, the C-RADIOv4 model family further improves any-resolution support, brings back the ViTDet option for drastically enhanced efficiency at high-resolution, and comes with a permissive license.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 14 of its 18 references that are in the map. First posted on arXiv 24 Jan 2026.

Builds on

14 of 18 references.

References · 14

  1. 2017Attention Is All You Needcited by 59,932
  2. 2023Segment Anythingcited by 8,158
  3. 2023Sigmoid Loss for Language Image Pre-Trainingcited by 3,048
  4. 2016Semantic Understanding of Scenes through the ADE20K Datasetcited by 1,063
  5. 2023Vision Transformers Need Registerscited by 844
  6. 2022Exploring Plain Vision Transformer Backbones for Object Detectioncited by 723
  7. 2024Probing the 3D Awareness of Visual Foundation Modelscited by 175
  8. 2023AM-RADIO: Agglomerative Vision Foundation Model -- Reduce All Domains Into Onecited by 165
  9. 2022Sharpness-Aware Training for Freecited by 95
  10. 2024RADIOv2.5: Improved Baselines for Agglomerative Vision Foundation Modelscited by 88
  11. 2023Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Designcited by 87
  12. 2025RayFronts: Open-Set Semantic Ray Frontiers for Online Scene Understanding and Explorationcited by 23
2 more
  1. 2024Improving robustness to corruptions with multiplicative weight perturbationscited by 7
  2. 2025FeatSharp: Your Vision Model Features, Sharpercited by 6

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 10.

10 papers.

  1. 2026CP-WSP: A Declarative CP-SAT Framework for Configurable Multi-Constraint Workforce Schedulingcited by 1
  2. 2026ModuSeg: Decoupling Object Discovery and Semantic Retrieval for Training-Free Weakly Supervised Segmentationcited by 0
  3. 2026ChangeFlow -- Latent Rectified Flow for Change Detection in Remote Sensingcited by 0
  4. 2026Cross-Domain Generalization Limits of Vision Foundation Models in Facial Deepfake Detectioncited by 0
  5. 2026SOCO: Benchmarking Semantic Object Correspondence in Vision Foundation Modelscited by 0
  6. 2026Pretraining Multiple Instance Learning Networks with Multi-Teacher Distillation from Pathology Slide Foundation Modelscited by 0
  7. 2026EOVSAM: Efficient Open-Vocabulary Segmentation with SAM 3 in One Passcited by 0
  8. 2026Puffin-World: Scaling a Unified Multimodal Model with Native 3D World Statescited by 0
  9. 2026IronViT: Toward Efficient Generalist Visual Representation Learningcited by 0
  10. 2026Med-RADIO: Reducing All Medical Domains Into One via Multi-Teacher Distillationcited by 0