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]
- FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training, ICCV 2023.
- σ-Adaptive Decoupled Prototype for Few-Shot Object Detection, ICCV 2023.
- Generating Features with Increased Crop-related Diversity for Few-Shot Object Detection, CVPR 2023.
- Meta-tuning Loss Functions and Data Augmentation for Few-shot Object Detection,CVPR 2023.
- NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging, CVPR 2023.
- DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection, CVPR 2023.
- Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object Detection, AAAI 2023.
- Few-Shot Object Detection via Variational Feature Aggregation, AAAI 2023.
- Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal Perspective,AAAI 2023.
- 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.