Research map / Label-efficient and robust learning / Recognition and long-tail
Visual Place Recognition via Robust ℓ2-Norm Distance Based Holism and Landmark Integration
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| fuse landmark-learned projection with holistic HOG representation | HOG features · CMU-VL and Nordland | precision-recall | Helped |
| set neighbourhood size K to 2 instead of 3-5 (ablation) | proposed method · Nordland | convergence speed of objective: 1.05 to 0.0027 | Helped |
| use ADMM with H=UV^T orthogonality instead of competing orthogonal solver | projection W · orthogonality of W^T W | strict orthogonality | Helped |
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