| No time to train! Training-Free Reference-Based Instance Segmentation | ✓ Link | 36.6 | Training-free | 2025-07-03 |
| Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector | ✓ Link | 35.3 | CD-ViTO | 2024-02-05 |
| Detect Everything with Few Examples | ✓ Link | 34.0 | DE-ViT | 2023-09-22 |
| Balanced ID-OOD tradeoff transfer makes query based detectors good few shot learners | | 26.3 | BIOT | 2024-05-23 |
| Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection | ✓ Link | 25.5 | RISF (SWIN-Large) | 2023-11-01 |
| DETReg: Unsupervised Pretraining with Region Priors for Object Detection | ✓ Link | 25 | DETReg-ft-full DDETR | 2021-06-08 |
| Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection | ✓ Link | 22.5 | imTED+ViT-B | 2022-05-19 |
| Hierarchical Attention Network for Few-Shot Object Detection via Meta-Contrastive Learning | ✓ Link | 22.4 | hANMCL | 2022-08-15 |
| Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection | ✓ Link | 21.9 | RISF (Resnet-101) | 2023-11-01 |
| Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation | ✓ Link | 19.5 | DCFS | 2025-05-20 |
| CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection | | 19.1 | CFA-DeFRCN | 2022-04-11 |
| Dual-Awareness Attention for Few-Shot Object Detection | ✓ Link | 18.6 | DAnA-FasterRCNN | 2021-02-24 |
| DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection | ✓ Link | 18.5 | DeFRCN | 2021-08-20 |
| Meta-DETR: Image-Level Few-Shot Object Detection with Inter-Class Correlation Exploitation | ✓ Link | 17.8 | Meta-DETR (Multi-Scale Feature) | 2021-03-22 |
| Meta-DETR: Image-Level Few-Shot Object Detection with Inter-Class Correlation Exploitation | ✓ Link | 16.7 | Meta-DETR (Single-Scale Feature) | 2021-03-22 |
| Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors | | 15.8 | FSRN (RetinaNet) | 2022-10-11 |
| Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection | ✓ Link | 15.1 | CME | 2021-03-08 |
| Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection | ✓ Link | 15.0 | imTED+ViT-S | 2022-05-19 |
| Few-Shot Object Detection by Attending to Per-Sample-Prototype | | 13.4 | FSDetView + PSP | 2021-09-16 |
| Instant Response Few-shot Object Detection with Meta Strategy and Explicit Localization Inference | ✓ Link | 13.3 | PnP-FSOD + CT | 2021-10-26 |
| Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild | ✓ Link | 12.5 | FSDetView | 2020-07-23 |
| Instant Response Few-shot Object Detection with Meta Strategy and Explicit Localization Inference | ✓ Link | 12.5 | PnP-FSOD | 2021-10-26 |
| Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection | | 11.3 | SSR-FSD | 2021-03-02 |
| Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector | ✓ Link | 11.1 | FSOD | 2019-08-06 |
| FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding | ✓ Link | 11.1 | FSCE | 2021-03-10 |
| Universal-Prototype Enhancing for Few-Shot Object Detection | ✓ Link | 11.0 | FSOD(Universal-Prototype) | 2021-03-01 |
| Frustratingly Simple Few-Shot Object Detection | ✓ Link | 10.0 | TFA(w/cos) | 2020-03-16 |
| Frustratingly Simple Few-Shot Object Detection | ✓ Link | 10.0 | TFA(w/fc) | 2020-03-16 |
| Multi-Scale Positive Sample Refinement for Few-Shot Object Detection | ✓ Link | 9.8 | MPSR | 2020-07-18 |
| Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning | ✓ Link | 8.7 | Meta R-CNN | 2019-10-01 |
| Meta-Learning to Detect Rare Objects | | 7.1 | MetaDet | 2019-10-01 |
| Few-shot Object Detection via Feature Reweighting | ✓ Link | 5.6 | MetaYOLO | 2018-12-05 |
| LSTD: A Low-Shot Transfer Detector for Object Detection | ✓ Link | 3.2 | LSTD (YOLO) | 2018-03-05 |