PAGER: Partial-to-global Alignment via Geometric and Relational Distillation

arXiv:2610.01589 · cs.CV · Submitted 2026-10-01 · Read on arXiv

cs.CV

Submitted: 2026-10-01

Updated: 2026-10-01

Terminology

Adaptation — 17× in this paper · explained in 1 episode
Alignment — 12× in this paper · explained in 1 episode
Conference on Computer Vision and Pattern Recognition — 11× in this paper
Point Clouds — 10× in this paper · explained in 2 episodes
Representation Learning — 8× in this paper · explained in 2 episodes
Distillation — 7× in this paper · explained in 2 episodes
Linear probe — 7× in this paper · explained in 2 episodes
Transformer — 7× in this paper · explained in 2 episodes
Fine-Tuning — 6× in this paper · explained in 5 episodes
Distribution Shift — 4× in this paper · explained in 6 episodes
Calibration — 3× in this paper · explained in 7 episodes
Fidelity — 3× in this paper · explained in 2 episodes
Parameter-Efficient Fine-Tuning — 3× in this paper · explained in 2 episodes
Self-Distillation — 3× in this paper · explained in 7 episodes
Ablation — 2× in this paper · explained in 1 episode
Ablation Studies — 2× in this paper · explained in 1 episode
Accuracy — 2× in this paper · explained in 1 episode
Benchmark — 2× in this paper · explained in 2 episodes
Domain Adaptation — 2× in this paper · explained in 5 episodes
Foundation Model — 2× in this paper · explained in 3 episodes
Instance Segmentation — 2× in this paper · explained in 3 episodes
Robustness — 2× in this paper · explained in 5 episodes
Self-Supervised Learning — 2× in this paper · explained in 8 episodes
Aggregation — 1× in this paper · explained in 1 episode
Core — 1× in this paper · explained in 2 episodes
Domain Shift — 1× in this paper · explained in 4 episodes
Downstream Tasks — 1× in this paper · explained in 2 episodes
European Conference on Computer Vision — 1× in this paper
Foundation Models — 1× in this paper · explained in 7 episodes
Frozen model — 1× in this paper · explained in 3 episodes
Generalization — 1× in this paper · explained in 13 episodes
Generative AI — 1× in this paper · explained in 2 episodes
Linear Probing — 1× in this paper · explained in 2 episodes
Parameter-Efficient Fine-Tuning (PEFT) — 1× in this paper · explained in 4 episodes
Segmentation Masks — 1× in this paper · explained in 2 episodes
Transfer Learning — 1× in this paper · explained in 10 episodes
Transferability — 1× in this paper · explained in 4 episodes

Sources

$\pi^3$: Permutation-Equivariant Visual Geometry Learning

Terminology

Sources

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