% Key papers for Fine-grained and cross-domain few-shot baselines (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{neurips2018_metagan_57374, title = {{MetaGAN: An Adversarial Approach to Few-Shot Learning}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2018}, url = {https://nips.cc/virtual/2018/poster/11246}, } @inproceedings{cvpr2021_few_17022, title = {{Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{cvpr2019_coloring_13946, title = {{Coloring With Limited Data: Few-Shot Colorization via Memory Augmented Networks}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{neurips2018_learning_57281, title = {{Learning Deep Disentangled Embeddings With the F-Statistic Loss}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2018}, url = {https://nips.cc/virtual/2018/poster/11045}, } @inproceedings{aaai2019_image_101521, title = {{Image Block Augmentation for One-Shot Learning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2019}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/4212}, } @inproceedings{cvpr2023_revisiting_22057, title = {{Revisiting Prototypical Network for Cross Domain Few-Shot Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/22366}, } @inproceedings{cvpr2017_multi_12465, title = {{Multi-Attention Network for One Shot Learning}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2017}, } @inproceedings{cvpr2022_task_19986, title = {{Task Discrepancy Maximization for Fine-Grained Few-Shot Classification}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{aaai2020_diversity_103592, title = {{Diversity Transfer Network for Few-Shot Learning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/6628}, } @inproceedings{aaai2023_bi_3184, title = {{Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2023}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/25383}, } @inproceedings{cvpr2019_variational_14998, title = {{Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{cvpr2020_multi_15910, title = {{Multi-Domain Learning for Accurate and Few-Shot Color Constancy}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{aaai2019_a_103541, title = {{A Dual Attention Network with Semantic Embedding for Few-Shot Learning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2019}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/4940}, } @inproceedings{neurips2020_crosstransformers_59623, title = {{CrossTransformers: spatially-aware few-shot transfer}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2020}, url = {https://nips.cc/virtual/2020/poster/18561}, } @inproceedings{aaai2024_cross_5528, title = {{Cross-Layer and Cross-Sample Feature Optimization Network for Few-Shot Fine-Grained Image Classification}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28208}, } @inproceedings{cvpr2021_fine_17024, title = {{Fine-Grained Angular Contrastive Learning With Coarse Labels}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{aaai2020_one_102268, title = {{One-Shot Image Classification by Learning to Restore Prototypes}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/6130}, } @inproceedings{cvpr2016_one_11740, title = {{One-Shot Learning of Scene Locations via Feature Trajectory Transfer}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2016}, } @inproceedings{cvpr2018_clear_12881, title = {{CLEAR: Cumulative LEARning for One-Shot One-Class Image Recognition}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2018}, url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Kozerawski_CLEAR_Cumulative_LEARning_CVPR_2018_paper.html}, } @inproceedings{aaai2021_less_1653, title = {{‘Less Than One’-Shot Learning: Learning N Classes From M < N Samples}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/09739-less-than-one-shot-learning-learning-n-classes-from-m-n-samples/}, } @inproceedings{cvpr2024_apseg_22688, title = {{APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31355}, } @inproceedings{cvpr2024_adapt_22718, title = {{Adapt Before Comparison: A New Perspective on Cross-Domain Few-Shot Segmentation}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/31137}, } @inproceedings{cvpr2024_cross_23061, title = {{Cross-Domain Few-Shot Segmentation via Iterative Support-Query Correspondence Mining}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30153}, } @inproceedings{cvpr2024_frozen_23528, title = {{Frozen Feature Augmentation for Few-Shot Image Classification}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30333}, } @inproceedings{aaai2024_label_6416, title = {{Label-Efficient Few-Shot Semantic Segmentation with Unsupervised Meta-Training}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28094}, } @inproceedings{aaai2025_mvrec_9886, title = {{MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/32634}, } @inproceedings{aaai2025_few_9188, title = {{Few-Shot Fine-Grained Image Classification with Progressively Feature Refinement and Continuous Relationship Modeling}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/32645}, } @inproceedings{cvpr2024_bayesian_22824, title = {{Bayesian Exploration of Pre-trained Models for Low-shot Image Classification}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30855}, } @inproceedings{aaai2025_enhancing_8963, title = {{Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/32225}, } @inproceedings{aaai2025_manhattan_9904, title = {{Manhattan Self-Attention Diffusion Residual Networks with Dynamic Bias Rectification for BCI-based Few-Shot Learning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33580}, } @inproceedings{neurips2024_be_73696, title = {{Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/93801}, } @inproceedings{icml2025_self_48669, title = {{Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/43953}, } @inproceedings{neurips2024_mind_71557, title = {{Mind the Gap Between Prototypes and Images in Cross-domain Finetuning}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/95710}, } @inproceedings{aaai2026_f2sst_106816, title = {{F2SST: Frequency-to-Spatial Semantic Transfer for Few-Shot Image Classification}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/39123}, } @inproceedings{neurips2024_fast_70911, title = {{FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/96289}, } @inproceedings{neurips2026_intervention_91214, title = {{Intervention-Guided Image-Free Classifier Expansion for Fine-Grained Recognition}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2026}, url = {https://neurips.cc/virtual/2026/poster/148473}, } @inproceedings{neurips2026_ddge_95315, title = {{DDGE: Disentangled Dirichlet Geodesic Evaluation for Robust Few-Shot Learning}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2026}, url = {https://neurips.cc/virtual/2026/poster/151036}, } @inproceedings{cvpr2026_hyperbolic_97172, title = {{Hyperbolic Defect Feature Synthesis for Few-Shot Defect Classification}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2026}, url = {https://openaccess.thecvf.com/content/CVPR2026/html/Li_Hyperbolic_Defect_Feature_Synthesis_for_Few-Shot_Defect_Classification_CVPR_2026_paper.html}, } @inproceedings{cvpr2026_graph_97811, title = {{Graph Attention Prototypical Network for Robust Few-Shot Classification}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2026}, url = {https://openaccess.thecvf.com/content/CVPR2026/html/Liu_Graph_Attention_Prototypical_Network_for_Robust_Few-Shot_Classification_CVPR_2026_paper.html}, }