Research map / Detection and segmentation / CNN features
Neighbourhood Consensus Networks
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use NC-Net for category-level matching | NC-Net · PF-Pascal | PCK: ~3% | Helped |
| Use NC-Net correspondences in the full InLoc localization pipeline | InLoc · InLoc | correctly localized queries | Helped |
| Replace hard mutual nearest-neighbour matching with NC-Net correspondences (ablation) | InLoc localization pipeline · InLoc | localization performance | Helped |
| Fine-tune the feature extractor (ablation) | NC-Net for instance-level matching · InLoc | localization performance | No clear effect |
Closest papers by meaning
- Correspondence Networks With Adaptive Neighbourhood Consensus (CVPR 2020 · similarity 0.92)
- PatchMatch-Based Neighborhood Consensus for Semantic Correspondence (CVPR 2021 · similarity 0.90)
- NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences (CVPR 2019 · similarity 0.87)
- ETO:Efficient Transformer-based Local Feature Matching by Organizing Multiple Homography Hypotheses (NeurIPS 2024 · similarity 0.85)
- Spotting the Unseen: Reciprocal Consensus Network Guided by Visual Archetypes (AAAI 2024 · similarity 0.85)
- Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence (ICLR 2024 · similarity 0.84)
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