% Key papers for Few-shot segmentation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{cvpr2019_canet_13918, title = {{CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2021_adaptive_16576, title = {{Adaptive Prototype Learning and Allocation for Few-Shot Segmentation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{cvpr2022_groupvit_18966, title = {{GroupViT: Semantic Segmentation Emerges From Text Supervision}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{cvpr2020_fss_15522, title = {{FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2019_semantic_14807, title = {{Semantic Projection Network for Zero- and Few-Label Semantic Segmentation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2020_crnet_15227, title = {{CRNet: Cross-Reference Networks for Few-Shot Segmentation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2021_self_17844, title = {{Self-Guided and Cross-Guided Learning for Few-Shot Segmentation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{cvpr2021_scale_17821, title = {{Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{cvpr2023_hierarchical_21147, title = {{Hierarchical Dense Correlation Distillation for Few-Shot Segmentation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/22590}, } @inproceedings{iclr2022_language_31285, title = {{Language-driven Semantic Segmentation}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2022}, url = {https://iclr.cc/virtual/2022/poster/6809}, } @inproceedings{aaai2019_attention_103464, title = {{Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2019}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/4860}, } @inproceedings{cvpr2022_learning_19196, title = {{Learning Non-Target Knowledge for Few-Shot Semantic Segmentation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{cvpr2022_dynamic_18715, title = {{Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{cvpr2022_generalized_18920, title = {{Generalized Few-Shot Semantic Segmentation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{aaai2020_differentiable_103780, title = {{Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/6887}, } @inproceedings{cvpr2023_mianet_21488, title = {{MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/21656}, } @inproceedings{cvpr2022_integrative_19088, title = {{Integrative Few-Shot Learning for Classification and Segmentation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{cvpr2020_lt_15732, title = {{LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2021_repurposing_17744, title = {{Repurposing GANs for One-Shot Semantic Part Segmentation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{cvpr2020_fgn_15517, title = {{FGN: Fully Guided Network for Few-Shot Instance Segmentation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2024_pix2gestalt_25322, title = {{pix2gestalt: Amodal Segmentation by Synthesizing Wholes}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31108}, } @inproceedings{aaai2024_relevant_7106, title = {{Relevant Intrinsic Feature Enhancement Network for Few-Shot Semantic Segmentation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/27834}, } @inproceedings{cvpr2024_addressing_22732, title = {{Addressing Background Context Bias in Few-Shot Segmentation through Iterative Modulation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29961}, } @inproceedings{cvpr2024_bi_22840, title = {{Bi-level Learning of Task-Specific Decoders for Joint Registration and One-Shot Medical Image Segmentation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31800}, } @inproceedings{aaai2024_maskdiff_6606, title = {{MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28068}, } @inproceedings{cvpr2024_no_24293, title = {{No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30842}, } @inproceedings{cvpr2024_visual_25253, title = {{Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29498}, } @inproceedings{aaai2024_adaptive_5128, title = {{Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28355}, } @inproceedings{neurips2024_hybrid_72107, title = {{Hybrid Mamba for Few-Shot Segmentation}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/95222}, } @inproceedings{aaai2024_task_7502, title = {{Task-Disruptive Background Suppression for Few-Shot Segmentation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28242}, } @inproceedings{aaai2024_cgmgm_5337, title = {{CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28280}, } @inproceedings{aaai2025_foreground_9218, title = {{Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/32688}, } @inproceedings{neurips2024_unleashing_70329, title = {{Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/96767}, } @inproceedings{cvpr2024_unlocking_25153, title = {{Unlocking the Potential of Pre-trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31125}, } @inproceedings{neurips2024_diffcut_71828, title = {{DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/95470}, } @inproceedings{cvpr2025_dsv_25842, title = {{DSV-LFS: Unifying LLM-Driven Semantic Cues with Visual Features for Robust Few-Shot Segmentation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/35099}, } @inproceedings{neurips2025_sansa_79316, title = {{SANSA: Unleashing the Hidden Semantics in SAM2 for Few-Shot Segmentation}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=o8r3gOFTQo}, } @inproceedings{aaai2025_deconfound_8663, title = {{Deconfound Semantic Shift and Incompleteness in Incremental Few-shot Semantic Segmentation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/32915}, } @inproceedings{neurips2024_a_73929, title = {{A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/93582}, } @inproceedings{icml2025_separating_48588, title = {{Separating Knowledge and Perception with Procedural Data}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/44033}, }