| Training-free |
- AP
- 36.6
|
No time to train! Training-Free Reference-Based Instance Segmentation 2025-07-03 |
코드 1 · 코드 2 |
| CD-ViTO |
- AP
- 35.3
|
Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector 2024-02-05 |
코드 1 · 코드 2 |
| DE-ViT |
- AP
- 34.0
|
Detect Everything with Few Examples 2023-09-22 |
코드 1 |
| BIOT |
- AP
- 26.3
|
Balanced ID-OOD tradeoff transfer makes query based detectors good few shot learners 2024-05-23 |
연결 없음 |
| RISF (SWIN-Large) |
- AP
- 25.5
|
Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection 2023-11-01 |
코드 1 |
| DETReg-ft-full DDETR |
- AP
- 25
|
DETReg: Unsupervised Pretraining with Region Priors for Object Detection 2021-06-08 |
코드 1 |
| imTED+ViT-B |
- AP
- 22.5
|
Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection 2022-05-19 |
코드 1 · 코드 2 · 코드 3 |
| hANMCL |
- AP
- 22.4
|
Hierarchical Attention Network for Few-Shot Object Detection via Meta-Contrastive Learning 2022-08-15 |
코드 1 |
| RISF (Resnet-101) |
- AP
- 21.9
|
Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection 2023-11-01 |
코드 1 |
| DCFS |
- AP
- 19.5
|
Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation 2025-05-20 |
코드 1 |
| CFA-DeFRCN |
- AP
- 19.1
|
CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection 2022-04-11 |
연결 없음 |
| DAnA-FasterRCNN |
- AP
- 18.6
|
Dual-Awareness Attention for Few-Shot Object Detection 2021-02-24 |
코드 1 |
| DeFRCN |
- AP
- 18.5
|
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection 2021-08-20 |
코드 1 · 코드 2 |
| Meta-DETR (Multi-Scale Feature) |
- AP
- 17.8
|
Meta-DETR: Image-Level Few-Shot Object Detection with Inter-Class Correlation Exploitation 2021-03-22 |
코드 1 · 코드 2 |
| Meta-DETR (Single-Scale Feature) |
- AP
- 16.7
|
Meta-DETR: Image-Level Few-Shot Object Detection with Inter-Class Correlation Exploitation 2021-03-22 |
코드 1 · 코드 2 |
| FSRN (RetinaNet) |
- AP
- 15.8
|
Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors 2022-10-11 |
연결 없음 |
| CME |
- AP
- 15.1
|
Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection 2021-03-08 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| imTED+ViT-S |
- AP
- 15.0
|
Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection 2022-05-19 |
코드 1 · 코드 2 · 코드 3 |
| FSDetView + PSP |
- AP
- 13.4
|
Few-Shot Object Detection by Attending to Per-Sample-Prototype 2021-09-16 |
연결 없음 |
| PnP-FSOD + CT |
- AP
- 13.3
|
Instant Response Few-shot Object Detection with Meta Strategy and Explicit Localization Inference 2021-10-26 |
코드 1 |
| FSDetView |
- AP
- 12.5
|
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild 2020-07-23 |
코드 1 · 코드 2 |
| PnP-FSOD |
- AP
- 12.5
|
Instant Response Few-shot Object Detection with Meta Strategy and Explicit Localization Inference 2021-10-26 |
코드 1 |
| SSR-FSD |
- AP
- 11.3
|
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection 2021-03-02 |
연결 없음 |
| FSOD |
- AP
- 11.1
|
Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector 2019-08-06 |
코드 1 · 코드 2 · 코드 3 |
| FSCE |
- AP
- 11.1
|
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding 2021-03-10 |
코드 1 · 코드 2 |
| FSOD(Universal-Prototype) |
- AP
- 11.0
|
Universal-Prototype Enhancing for Few-Shot Object Detection 2021-03-01 |
코드 1 |
| TFA(w/cos) |
- AP
- 10.0
|
Frustratingly Simple Few-Shot Object Detection 2020-03-16 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |
| TFA(w/fc) |
- AP
- 10.0
|
Frustratingly Simple Few-Shot Object Detection 2020-03-16 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |
| MPSR |
- AP
- 9.8
|
Multi-Scale Positive Sample Refinement for Few-Shot Object Detection 2020-07-18 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| Meta R-CNN |
- AP
- 8.7
|
Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning 2019-10-01 |
코드 1 |