Research map / Detection and segmentation / Open-set and few-shot detection
Few-Shot Object Detection via Classification Refinement and Distractor Retreatment
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add FSCN to cos-FRCN (ablation) | cos-FRCN · MS-COCO novel set, 10-shot and 30-shot | Novel AP: 10.0 -> 11.1; 13.4 -> 14.6 | Helped |
| Add CGDP to cos-FRCN (ablation) | cos-FRCN · MS-COCO novel set, 10-shot and 30-shot | Novel AP: 10.0 -> 10.6; 13.4 -> 14.3 | Helped |
| Add CGDP and FSCN to cos-FRCN (ablation) | cos-FRCN · MS-COCO novel set, 10-shot and 30-shot | Novel AP: 10.0 -> 11.3; 13.4 -> 15.1 | Helped |
| Add FSCN to cos-FRCN (ablation) | cos-FRCN · Pascal VOC Novel Splits 1–3, 10-shot | Novel AP: 53.3 -> 62.5; 40.6 -> 46.1; 49.7 -> 55.3 | Helped |
| Add CGDP to cos-FRCN (ablation) | cos-FRCN · Pascal VOC Novel Splits 1–3, 10-shot | Novel AP: 53.3 -> 53.4; 40.6 -> 41.7; 49.7 -> 50.6 | Mixed |
| Add CGDP and FSCN to cos-FRCN (ablation) | cos-FRCN · Pascal VOC Novel Splits 1–3, 10-shot | Novel AP: 53.3 -> 62.4; 40.6 -> 46.3; 49.7 -> 55.6 | Helped |
Closest papers by meaning
- Label, Verify, Correct: A Simple Few Shot Object Detection Method (CVPR 2022 · similarity 0.92)
- Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation (NeurIPS 2022 · similarity 0.90)
- Weakly Supervised Few-Shot Object Detection with DETR (AAAI 2024 · similarity 0.90)
- Few-Shot Object Detection with Foundation Models (CVPR 2024 · similarity 0.89)
- Fine-Grained Prototypes Distillation for Few-Shot Object Detection (AAAI 2024 · similarity 0.89)
- SNIDA: Unlocking Few-Shot Object Detection with Non-linear Semantic Decoupling Augmentation (CVPR 2024 · similarity 0.88)
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