Research map / Detection and segmentation / Weakly supervised detection and segmentation
Instance Localization for Self-Supervised Detection Pretraining
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| pretrain with instance localization using pasted foregrounds and bounding-box region features instead of holistic instance discrimination | MoCo-v2, ResNet50-C4 · PASCAL VOC test2007 | AP: 57.4 -> 58.4 | Helped |
| pretrain with instance localization using pasted foregrounds and bounding-box region features instead of holistic instance discrimination | MoCo-v2, ResNet50-C4 · COCO val2017, Mask R-CNN 2× | APbb: 41.2 -> 41.8 | Helped |
| pretrain with instance localization using pasted foregrounds and bounding-box region features instead of holistic instance discrimination | MoCo-v2, ResNet50-FPN · COCO val2017, Mask R-CNN 2× | APbb: 42.5 -> 43.3 | Helped |
| pretrain with instance localization | MoCo-v2, ResNet50-C4 · Mini COCO val2017, 10% train | APbb: 22.7 -> 26.0 | Helped |
| add RoIAlign for architectural alignment (ablation) | MoCo-v2, ResNet50-FPN · COCO val2017, 1× ablation | APbb: 39.8 -> 40.2 | Helped |
| add copy-paste instance localization and bounding-box representations (ablation) | RoIAlign baseline, ResNet50-FPN · COCO val2017, 1× ablation | APbb: 40.2 -> 41.1 | Helped |
| add bounding-box augmentation using spatially jittered boxes (ablation) | Instance localization, ResNet50-FPN · COCO val2017, 1× ablation | APbb: 41.1 -> 41.4 | Helped |
| use instance localization rather than holistic instance discrimination | MoCo-v2, ResNet50-C4 · ImageNet linear probe | classification accuracy: 67.7 -> 61.7 | Hurt |
| use instance localization rather than holistic instance discrimination | MoCo-v2, ResNet50-C4 · Linear localization evaluation | localization accuracy: 71.9 -> 74.2 | Helped |
| increase InsLoc pretraining from 200 to 400 epochs | InsLoc, ResNet50-C4 · COCO val2017, Mask R-CNN 2× | APbb: 41.4 -> 41.8 | Helped |
| increase InsLoc pretraining from 200 to 400 epochs | InsLoc, ResNet50-FPN · COCO val2017, Mask R-CNN 2× | APbb: 43.2 -> 43.3 | No clear effect |
Closest papers by meaning
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- Unsupervised Object Detection Pretraining with Joint Object Priors Generation and Detector Learning (NeurIPS 2022 · similarity 0.87)
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