GAD-MambaUNet: Direction-Group Mamba with Gradient-Adaptive DINOv3 Distillation for Lightweight Medical Image Segmentation

arXiv:2609.26729 · cs.CV · Submitted 2026-09-22 · Read on arXiv

cs.CV

Submitted: 2026-09-22

Updated: 2026-09-22

Terminology

• Distillation — 33× in this paper · explained in 2 episodes
• Accuracy — 12× in this paper · explained in 1 episode
• Transformer — 8× in this paper · explained in 2 episodes
• Gradient-Adaptive Distillation — 7× in this paper
• Ablation — 4× in this paper · explained in 1 episode
• Ablation study — 3× in this paper · explained in 1 episode
• Aggregation — 3× in this paper · explained in 1 episode
• Alignment — 3× in this paper · explained in 1 episode
• Abstraction — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Benchmarking — 1× in this paper · explained in 4 episodes
• Core — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• U-net architecture — 1× in this paper · explained in 3 episodes

Sources

• UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation
• TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
• MK-UNet: Multi-kernel Lightweight CNN for Medical Image Segmentation
• Mamba: Linear-Time Sequence Modeling with Selective State Spaces
• VMamba: Visual State Space Model
• VM-UNet: Vision Mamba UNet for Medical Image Segmentation
• UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation
• DINOv3
• RT-DETRv4: Painlessly Furthering Real-Time Object Detection with Vision Foundation Models
• Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)

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