Research map / Detection and segmentation / CNN features
Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add ODP to FRCN while retaining softmax classification (ablation) | FRCN with VGG · PASCAL VOC 2007 test (07+12) | mAP: +2.3% | Helped |
| Use CDP without ODP (ablation) | FRCN with VGG · PASCAL VOC 2007 test (07+12) | mAP: 70.0 -> 70.9; drops by 1.0% | Hurt |
| Jointly fine-tune the network with DPBP (ablation) | FRCN+CDP+ODP · PASCAL VOC 2007 test (07+12) | mAP: 72.4 -> 73.4; about 1.0% | Helped |
| Weight training samples by IoU instead of setting all weights to 1 (ablation) | FRCN+CDP+ODP · PASCAL VOC 2007 test (07+12) | mAP: 71.1 -> 73.4; about 2% | Helped |
| Add CDP and ODP to FRCN | FRCN with VGG · PASCAL VOC 2007 test (07) | mAP: 66.9 -> 71.1; 3% | Helped |
| Add CDP and ODP to FRCN | FRCN with VGG · PASCAL VOC 2012 test (12) | mAP: 65.7 -> 66.9; 2% | Helped |
Closest papers by meaning
- RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder (NeurIPS 2020 · similarity 0.87)
- Feature Pyramid Networks for Object Detection (CVPR 2017 · similarity 0.87)
- Dictionary Learning Inspired Deep Network for Scene Recognition (AAAI 2018 · similarity 0.86)
- RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection (CVPR 2016 · similarity 0.86)
- Few-Shot Object Detection via Association and DIscrimination (NeurIPS 2021 · similarity 0.86)
- Sparse R-CNN: End-to-End Object Detection With Learnable Proposals (CVPR 2021 · similarity 0.86)
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