The goal of this page is to keep on track with the state-of-the-art (SOTA) for the few-shot object detection. If your paper is not in the list, please feel free to raise an issue or drop me an e-mail.

• MSCOCO FSOD Leaderboard: [html] [Markdown]
• PASCAL-VOC FSOD Leaderboard: [html] [Markdown]

• DCFS: Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation, NeurIPS 2022.
• CoCo-RCNN: Few-Shot End-to-End Object Detection via Constantly Concentrated Encoding across Heads, ECCV 2022.
• FewX: Few-Shot Object Detection with Model Calibration, ECCV 2022.
• MFDC: Multi-Faceted Distillation of Base-Novel Commonality for Few-shot Object Detection,ECCV 2022.
• AcroFOD: An Adaptive Method for Cross-domain Few-shot Object Detection, ECCV 2022.
• TENET: Time-rEversed diffusioN tEnsor Transformer: A new TENET of Few-Shot Object Detection], ECCV 2022.
• MoFSOD: Rethinking Few-Shot Object Detection on A Multi-Domain Benchmark, ECCV 2022.
• MRSN: Mutually Reinforcing Structure with Proposal Contrastive Consistency for Few-Shot Object Detection, ECCV 2022.
• KD-DeFRCN: Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations, ECCV 2022.
• DETReg: Unsupervised Pretraining with Region Priors for Object Detection,CVPR 2022.
• Label, Verify, Correct: A Simple Few Shot Object Detection Method, CVPR 2022.
• Sylph: A Hypernetwork Framework for Incremental Few-shot Object Detection, CVPR 2022.
• FCT: Few-Shot Object Detection with Fully Cross-Transformer,CVPR 2022.
• KFSOD: Kernelized Few-shot Object Detection with Efficient Integral Aggregation, CVPR 2022.
• Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment, AAAI 2022.
• QA-FewDet: Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks, ICCV 2021.
• DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection, ICCV 2021.
• FSOD$^{up}$: Universal-Prototype Augmentation for Few-Shot Object Detection, ICCV 2021.
• DAnA: Dual-awareness Attention for Few-Shot Object Detection, TMM 2021.
• FADI: Few-Shot Object Detection via Association and Discrimination,NeurIPS, 2021.
• SRR-FSD: Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection, CVPR 2021.
• IMTFA: Incremental Few-Shot Instance Segmentation, CVPR 2021.
• CME: Beyond Max-Margin, Class Margin Equilibrium for Few-shot Object Detection, CVPR 2021.
• DCNet: Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection
• TIP: Transformation Invariant Few-Shot Object Detection
• FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding, CVPR 2021.
• Retentive R-CNN: Generalized Few-Shot Object Detection without Forgetting, CVPR 2021.
• Halluc: Hallucination Improves Few-Shot Object Detection, CVPR 2021.
• Context-Transformer: Tackling Object Confusion for Few-Shot Detection,AAAI 2020.
• FSOD-ARPN-MRD: Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector, CVPR 2020.
• ONCE: Incremental Few-Shot Object Detection, CVPR 2020.
• TFA: Frustratingly Simple Few-Shot Object Detection, ICML 2020. FSDetView: Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild, ECCV 2020.
• MPSR: Multi-Scale Positive Sample Refinement for Few-Shot Object Detection, ECCV 2020.
• NP-RepMet: Restoring Negative Information in Few-Shot Object Detection, NeurIPS 2020.
• Meta-RCNN: Meta Learning for Few-Shot Object Detection, ACM-MM 2020.

• Few-Shot Object Detection: A Survey, arXiv 2021.
• A Comparative Review of Recent Few-Shot Object Detection Algorithms, arXiv 2021.
• Few-Shot Object Detection: A Survey, TNNLS 2022.
• A Survey of Self-Supervised and Few-Shot Object Detection, arXiv 2021, [project].

• MSCOCO FSOD Leaderboard
• PASCAL-VOC FSOD Leaderboard.

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