SAM3-UNet: Simplified Adaptation of Segment Anything Model 3
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Abstract (arXiv)
In this paper, we introduce SAM3-UNet, a simplified variant of Segment Anything Model 3 (SAM3), designed to adapt SAM3 for downstream tasks at a low cost. Our SAM3-UNet consists of three components: a SAM3 image encoder, a simple adapter for parameter-efficient fine-tuning, and a lightweight U-Net-style decoder. Preliminary experiments on multiple tasks, such as mirror detection and salient object detection, demonstrate that the proposed SAM3-UNet outperforms the prior SAM2-UNet and other state-of-the-art methods, while requiring less than 6 GB of GPU memory during training with a batch size of 12. The code is publicly available at https://github.com/WZH0120/SAM3-UNet.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 17 of its 28 references that are in the map. First posted on arXiv 1 Dec 2025.
Builds on
17 of 28 references.
References · 17
- 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 30,186
- 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
- 2023Segment Anythingcited by 8,234
- 2019Parameter-Efficient Transfer Learning for NLPcited by 4,236
- 2024SAM 2: Segment Anything in Images and Videoscited by 2,863
- 2025SAM 3: Segment Anything with Conceptscited by 906
- 2017Structure-measure: A New Way to Evaluate Foreground Mapscited by 480
- 2020U2-Net: Going Deeper with Nested U-Structure for Salient Object Detectioncited by 412
- 2025Perception Encoder: The best visual embeddings are not at the output of the networkcited by 326
- 2023Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistlescited by 290
- 2014The Secrets of Salient Object Segmentationcited by 200
- 2015Visual Saliency Based on Multiscale Deep Featurescited by 185
5 more
- 2021Salient Object Detection via Integrity Learningcited by 133
- 2020EDN: Salient Object Detection via Extremely-Downsampled Networkcited by 64
- 2024SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentationcited by 64
- 2022Efficient Mirror Detection via Multi-level Heterogeneous Learningcited by 13
- 2025Uncertainty Guided Refinement for Fine-Grained Salient Object Detectioncited by 4
Built on by
Citing papers per year: 2026: 4.
4 papers.
- 2026Tarot-SAM3: Training-free SAM3 for Any Referring Expression Segmentationcited by 1
- 2026Surgical Anatomy Recognition with Context Learning using Foundation Representationscited by 1
- 2026When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentationcited by 0
- 2026CoRe-SAM3: Conditional Semantic--Visual Reconciliation for SAM3 Crack Segmentationcited by 0
- 2026CoRe-SAM3: Conditional Semantic--Visual Reconciliation for SAM3 Crack Segmentation5 Sep 2026
- 2026When Does Resolution Help a Frozen Backbone? Global Attention at Resolution Predicts Scalable Adaptation for Camouflaged and Marine Animal Segmentation2 Jul 2026
- 2026Surgical Anatomy Recognition with Context Learning using Foundation Representations20 Jun 2026
- 2026Tarot-SAM3: Training-free SAM3 for Any Referring Expression Segmentation9 Apr 2026