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MegDet: A Large Mini-Batch Object Detector
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Increase batch size from 16 to 32 without BN | ResNet-50 + FPN detector · COCO val | mmAP: 36.2 -> 36.4 | Helped |
| Increase batch size from 16 to 32 without BN | ResNet-50 + FPN detector · COCO val | training time (h): 33.2 -> 15.1 | Helped |
| Add warmup and Cross-GPU Batch Normalization | Large-mini-batch ResNet-50 + FPN detector · COCO val | mmAP: 36.2 -> 37.1 | Helped |
| Add warmup and Cross-GPU Batch Normalization | Large-mini-batch ResNet-50 + FPN detector · COCO val | convergence | Helped |
| Increase BN statistics size from 2 to 16 images (ablation) | Batch-16 ResNet-50 + FPN detector · COCO val | mmAP: 31.0 -> 37.0 | Helped |
| Increase BN statistics size from 16 to 64 images (ablation) | Batch-64 ResNet-50 + FPN detector · COCO val | mmAP: 37.1 -> 35.3 | Hurt |
| Use the long training policy instead of the normal policy (ablation) | Batch-32 detector with BN size 32 · COCO val | mmAP: 37.3 -> 37.8 | Helped |
| Increase batch size from 16 to 256 with CGBN | ResNet-50 + FPN detector · COCO val | training time (h): 33.2 -> 4.1 | Helped |
| Use batch size 64 without BN at the scaled learning rate (ablation) | ResNet-50 + FPN detector · COCO val | convergence | Hurt |
| Use batch size 128 with half learning rate and no BN (ablation) | ResNet-50 + FPN detector · COCO val | convergence | Hurt |
Closest papers by meaning
- ScratchDet: Training Single-Shot Object Detectors From Scratch (CVPR 2019 · similarity 0.88)
- QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection (CVPR 2022 · similarity 0.87)
- MobileDets: Searching for Object Detection Architectures for Mobile Accelerators (CVPR 2021 · similarity 0.87)
- DynamicDet: A Unified Dynamic Architecture for Object Detection (CVPR 2023 · similarity 0.87)
- M2Det: A Single-Shot Object Detector Based on Multi-Level Feature Pyramid Network (AAAI 2019 · similarity 0.87)
- Unsupervised Object Detection with Theoretical Guarantees (NeurIPS 2024 · similarity 0.84)
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