[IEEE T-MI 2026] Contrastive Graph Modeling for Cross-Domain Few-Shot Medical Image Segmentation

【AAAI 2026 Oral】The official implementation of "Divide-and-Conquer Decoupled Network for Cross-Domain Few-Shot Segmentation".

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ICLR2026 OpenReview

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A foundation model for universal 3D blood vessel segmentation. Paper accepted @ CVPR25.

所有小初高、大学PDF教材。

One of the best ML papers which we have reviewed on Agora and myself :)

Official code for Visual Textualization

A library for scientific machine learning and physics-informed learning

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

[TPAMI 2025] Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object Detection

The code of "Logits DeConfusion with CLIP for Few-Shot Learning" (CVPR 2025)

The official code of "QSM: Self-similarity Guided Query Prototyping for Robust Cross-Domain Few-shot Semantic Segmentation", published in Visual Computer, 2025.

The code for: "Adversarial Prototypical Perturbation for Cross-domain Few-shot Medical Image Segmentation" (Temporary)

Code and Data for "Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features"

Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection CVPR 2025

The code of DIFD

[NeurIPS'24] Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation (Diffews)

The implementation of "Cross-domain Few-shot Medical Image Segmentation via Dynamic Semantic Matching"

Codes and dataset (iSAID-5i) for Scale-aware Detailed Matching for Few-Shot Aerial Image Semantic Segmentation

Code for paper： DCOP-Net: A dual-filter cross attention and onion pooling network for few-shot medical image segmentation

[AAAI 25] FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation

HM: Hybrid Masking for Few-Shot Segmentation (ECCV 2022)