Research map / Label-efficient and robust learning / Self-supervised and contrastive
Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add local-to-local dissimilarity to LoGo (ablation) | MoCo-LoGo · CIFAR10 | KNN accuracy (%): 82.31 -> 84.44 | Helped |
| Add local-to-local dissimilarity to LoGo (ablation) | MoCo-LoGo · STL10 | KNN accuracy (%): 74.26 -> 76.79 | Helped |
| Add local-to-local dissimilarity to LoGo (ablation) | MoCo-LoGo · ImageNet-100 | KNN accuracy (%): 69.00 -> 76.82 | Helped |
| Add local-to-local dissimilarity to LoGo (ablation) | SimSiam-LoGo · CIFAR10 | KNN accuracy (%): 83.33 -> 87.67 | Helped |
| Add local-to-local dissimilarity to LoGo (ablation) | SimSiam-LoGo · STL10 | KNN accuracy (%): 60.21 -> 76.96 | Helped |
| Add local-to-local dissimilarity to LoGo (ablation) | SimSiam-LoGo · ImageNet-100 | KNN accuracy (%): 76.64 -> 78.48 | Helped |
| Replace the learned local-crop affinity with cosine distance (ablation) | LoGo · Training | KNN accuracy | Hurt |
Closest papers by meaning
- Mosaic Representation Learning for Self-supervised Visual Pre-training (ICLR 2023 · similarity 0.89)
- Self-supervised Transformation Learning for Equivariant Representations (NeurIPS 2024 · similarity 0.85)
- Can Generative Models Improve Self-Supervised Representation Learning? (AAAI 2025 · similarity 0.84)
- Cropper: Vision-Language Model for Image Cropping through In-Context Learning (CVPR 2025 · similarity 0.84)
- Combining Deep Learning and Street View Imagery to Map Smallholder Crop Types (AAAI 2024 · similarity 0.84)
- Learning Subject-Aware Cropping by Outpainting Professional Photos (AAAI 2024 · similarity 0.83)
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