{"url":"/task/few-shot-class-incremental-learning","name":"Few-Shot Class-Incremental Learning","slug":"few-shot-class-incremental-learning","description_markdown":null,"categories":[{"name":"Computer Vision","url":"/area/computer-vision"},{"name":"Methodology","url":"/area/methodology"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":118,"papers_with_code":55,"benchmarks":3,"benchmark_tables_in_archive":3,"benchmark_tables_shown":3,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":3,"subtasks":0,"parent_tasks":1},"benchmarks":[{"leaderboard":"/sota/few-shot-class-incremental-learning-on-mini","slug":"few-shot-class-incremental-learning-on-mini","dataset":"mini-Imagenet","dataset_url":"/dataset/mini-imagenet","rows_in_archive":12,"metrics":["Last Accuracy ","Average Accuracy"],"first_row_in_archive_order":{"model":"CoACT","paper_title":"Few-shot Tuning of Foundation Models for Class-incremental Learning","paper_url":"/paper/few-shot-tuning-of-foundation-models-for","paper_date":"2024-05-26","arxiv_id":"2405.16625","code_links":[{"title":"shuvenduroy/coact-fscil","url":"https://github.com/shuvenduroy/coact-fscil"}],"syntology":{"n":10,"n_ran":6,"n_unverified":4,"n_pointer_only":0}}},{"leaderboard":"/sota/few-shot-class-incremental-learning-on-cifar","slug":"few-shot-class-incremental-learning-on-cifar","dataset":"CIFAR-100","dataset_url":"/dataset/cifar-100","rows_in_archive":11,"metrics":["Last Accuracy","Average Accuracy"],"first_row_in_archive_order":{"model":"PriViLege","paper_title":"Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners","paper_url":"/paper/pre-trained-vision-and-language-transformers","paper_date":"2024-04-02","arxiv_id":"2404.02117","code_links":[{"title":"khu-agi/privilege","url":"https://github.com/khu-agi/privilege"}],"syntology":{"n":14,"n_ran":12,"n_unverified":2,"n_pointer_only":0}}},{"leaderboard":"/sota/few-shot-class-incremental-learning-on-cub","slug":"few-shot-class-incremental-learning-on-cub","dataset":"CUB-200-2011","dataset_url":"/dataset/cub-200-2011","rows_in_archive":6,"metrics":["Last Accuracy ","Average Accuracy"],"first_row_in_archive_order":{"model":"CoACT","paper_title":"Few-shot Tuning of Foundation Models for Class-incremental Learning","paper_url":"/paper/few-shot-tuning-of-foundation-models-for","paper_date":"2024-05-26","arxiv_id":"2405.16625","code_links":[{"title":"shuvenduroy/coact-fscil","url":"https://github.com/shuvenduroy/coact-fscil"}],"syntology":{"n":10,"n_ran":6,"n_unverified":4,"n_pointer_only":0}}}],"datasets":[{"url":"/dataset/cifar-100","name":"CIFAR-100","full_name":"","num_papers_in_archive":9045},{"url":"/dataset/cub-200-2011","name":"CUB-200-2011","full_name":"Caltech-UCSD Birds-200-2011","num_papers_in_archive":2235},{"url":"/dataset/mini-imagenet","name":"mini-Imagenet","full_name":"","num_papers_in_archive":1345}],"subtasks":[],"parent_tasks":[{"url":"/task/class-incremental-learning","name":"Class Incremental Learning"}],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":30,"of":55,"tagged_in_all":118,"items":[{"url":"/paper/continuous-knowledge-preserving-decomposition","title":"Continuous Knowledge-Preserving Decomposition for Few-Shot Continual Learning","date":"2025-01-09","arxiv_id":"2501.05017","repositories_listed":2,"syntology":null},{"url":"/paper/a-streamlined-approach-to-multimodal-few-shot","title":"A streamlined Approach to Multimodal Few-Shot Class Incremental Learning for Fine-Grained Datasets","date":"2024-03-10","arxiv_id":"2403.06295","repositories_listed":2,"syntology":null},{"url":"/paper/filp-3d-enhancing-3d-few-shot-class","title":"FILP-3D: Enhancing 3D Few-shot Class-incremental Learning with Pre-trained Vision-Language Models","date":"2023-12-28","arxiv_id":"2312.17051","repositories_listed":2,"syntology":null},{"url":"/paper/continual-learning-forget-free-winning","title":"Continual Learning: Forget-free Winning Subnetworks for Video Representations","date":"2023-12-19","arxiv_id":"2312.11973","repositories_listed":2,"syntology":{"n":15,"n_ran":7,"n_unverified":8,"n_pointer_only":0}},{"url":"/paper/neural-collapse-terminus-a-unified-solution","title":"Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants","date":"2023-08-03","arxiv_id":"2308.01746","repositories_listed":2,"syntology":{"n":1,"n_ran":1,"n_unverified":0,"n_pointer_only":1}},{"url":"/paper/on-the-soft-subnetwork-for-few-shot-class","title":"On the Soft-Subnetwork for Few-shot Class Incremental Learning","date":"2022-09-15","arxiv_id":"2209.07529","repositories_listed":2,"syntology":{"n":10,"n_ran":7,"n_unverified":3,"n_pointer_only":2}},{"url":"/paper/constrained-few-shot-class-incremental","title":"Constrained Few-shot Class-incremental Learning","date":"2022-03-30","arxiv_id":"2203.16588","repositories_listed":2,"syntology":{"n":5,"n_ran":4,"n_unverified":1,"n_pointer_only":0}},{"url":"/paper/adaptive-decision-boundary-for-few-shot-class","title":"Adaptive Decision Boundary for Few-Shot Class-Incremental Learning","date":"2025-04-15","arxiv_id":"2504.10976","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_unverified":0,"n_pointer_only":0}},{"url":"/paper/enhancing-few-shot-class-incremental-learning","title":"Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration","date":"2025-01-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/class-balance-matters-to-active-class","title":"Class Balance Matters to Active Class-Incremental Learning","date":"2024-12-09","arxiv_id":"2412.06642","repositories_listed":1,"syntology":null},{"url":"/paper/an-efficient-memory-module-for-graph-few-shot","title":"An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning","date":"2024-11-11","arxiv_id":"2411.06659","repositories_listed":1,"syntology":null},{"url":"/paper/covariance-based-space-regularization-for-few","title":"Covariance-based Space Regularization for Few-shot Class Incremental Learning","date":"2024-11-02","arxiv_id":"2411.01172","repositories_listed":1,"syntology":null},{"url":"/paper/foundation-model-powered-3d-few-shot-class","title":"Foundation Model-Powered 3D Few-Shot Class Incremental Learning via Training-free Adaptor","date":"2024-10-11","arxiv_id":"2410.09237","repositories_listed":1,"syntology":null},{"url":"/paper/closer-towards-better-representation-learning","title":"CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning","date":"2024-10-08","arxiv_id":"2410.05627","repositories_listed":1,"syntology":null},{"url":"/paper/rethinking-few-shot-class-incremental-1","title":"Rethinking Few-shot Class-incremental Learning: Learning from Yourself","date":"2024-07-10","arxiv_id":"2407.07468","repositories_listed":1,"syntology":null},{"url":"/paper/mamba-fscil-dynamic-adaptation-with-selective","title":"Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning","date":"2024-07-08","arxiv_id":"2407.06136","repositories_listed":1,"syntology":{"n":8,"n_ran":2,"n_unverified":6,"n_pointer_only":8}},{"url":"/paper/compositional-few-shot-class-incremental","title":"Compositional Few-Shot Class-Incremental Learning","date":"2024-05-27","arxiv_id":"2405.17022","repositories_listed":1,"syntology":{"n":15,"n_ran":9,"n_unverified":6,"n_pointer_only":0}},{"url":"/paper/few-shot-tuning-of-foundation-models-for","title":"Few-shot Tuning of Foundation Models for Class-incremental Learning","date":"2024-05-26","arxiv_id":"2405.16625","repositories_listed":1,"syntology":{"n":10,"n_ran":6,"n_unverified":4,"n_pointer_only":0}},{"url":"/paper/few-shot-class-incremental-learning-via-2","title":"Few-Shot Class Incremental Learning via Robust Transformer Approach","date":"2024-05-08","arxiv_id":"2405.05984","repositories_listed":1,"syntology":null},{"url":"/paper/calibrating-higher-order-statistics-for-few","title":"Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers","date":"2024-04-09","arxiv_id":"2404.06622","repositories_listed":1,"syntology":{"n":15,"n_ran":6,"n_unverified":9,"n_pointer_only":0}},{"url":"/paper/pre-trained-vision-and-language-transformers","title":"Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners","date":"2024-04-02","arxiv_id":"2404.02117","repositories_listed":1,"syntology":{"n":14,"n_ran":12,"n_unverified":2,"n_pointer_only":0}},{"url":"/paper/orco-towards-better-generalization-via","title":"OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning","date":"2024-03-27","arxiv_id":"2403.18550","repositories_listed":1,"syntology":{"n":8,"n_ran":6,"n_unverified":2,"n_pointer_only":8}},{"url":"/paper/ntk-guided-few-shot-class-incremental","title":"NTK-Guided Few-Shot Class Incremental Learning","date":"2024-03-19","arxiv_id":"2403.12486","repositories_listed":1,"syntology":null},{"url":"/paper/few-shot-class-incremental-learning-with-1","title":"Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt","date":"2024-03-14","arxiv_id":"2403.09857","repositories_listed":1,"syntology":null},{"url":"/paper/12-mj-per-class-on-device-online-few-shot","title":"12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning","date":"2024-03-12","arxiv_id":"2403.07851","repositories_listed":1,"syntology":null},{"url":"/paper/pl-fscil-harnessing-the-power-of-prompts-for","title":"PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental Learning","date":"2024-01-26","arxiv_id":"2401.14807","repositories_listed":1,"syntology":null},{"url":"/paper/learning-prompt-with-distribution-based","title":"Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning","date":"2024-01-03","arxiv_id":"2401.01598","repositories_listed":1,"syntology":null},{"url":"/paper/few-shot-class-incremental-learning-via-3","title":"Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration","date":"2023-12-08","arxiv_id":"2312.05229","repositories_listed":1,"syntology":{"n":1,"n_ran":0,"n_unverified":1,"n_pointer_only":1}},{"url":"/paper/constructing-sample-to-class-graph-for-few","title":"Constructing Sample-to-Class Graph for Few-Shot Class-Incremental Learning","date":"2023-10-31","arxiv_id":"2310.20268","repositories_listed":1,"syntology":null},{"url":"/paper/cbcl-pr-a-cognitively-inspired-model-for","title":"CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in Robotics","date":"2023-07-31","arxiv_id":"2308.00199","repositories_listed":1,"syntology":null}],"syntology_records":12,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}