Test Time Adaptation Methods for Point Cloud Registration in Laparoscopic Surgery

arXiv:2608.02883 · cs.CV · Submitted 2026-08-03 · Read on arXiv

cs.CV

Submitted: 2026-08-03

Updated: 2026-09-23

Code: https://github.com/ninaa-git/survey_pc_registration_tta

Terminology

Adaptation — 78× in this paper · explained in 1 episode
Embeddings — 15× in this paper · explained in 2 episodes
Alignment — 12× in this paper · explained in 1 episode
Point Clouds — 11× in this paper · explained in 2 episodes
Domain Shift — 8× in this paper · explained in 4 episodes
Computational overhead — 4× in this paper · explained in 2 episodes
Domain Adaptation — 4× in this paper · explained in 5 episodes
Calibration — 3× in this paper · explained in 7 episodes
Inlier Ratio — 3× in this paper
Distribution Shift — 2× in this paper · explained in 6 episodes
Test-time Adaptation (TTA) — 2× in this paper · explained in 3 episodes
Transformer — 2× in this paper · explained in 2 episodes
Benchmark — 1× in this paper · explained in 2 episodes
Benchmarking — 1× in this paper · explained in 3 episodes
Chamfer Distance — 1× in this paper
Contrastive Learning — 1× in this paper · explained in 5 episodes
Diffusion Model — 1× in this paper · explained in 8 episodes
Diffusion Models — 1× in this paper · explained in 6 episodes
Exponential Moving Average (EMA) — 1× in this paper · explained in 2 episodes
Generalization — 1× in this paper · explained in 13 episodes
Meta-learning — 1× in this paper · explained in 2 episodes
Model-Agnostic — 1× in this paper · explained in 2 episodes
Online Adaptation — 1× in this paper · explained in 3 episodes
Pseudo-labels — 1× in this paper · explained in 2 episodes
Representation Learning — 1× in this paper · explained in 2 episodes
Robustness — 1× in this paper · explained in 5 episodes
Self-Supervised Learning — 1× in this paper · explained in 8 episodes
Transfer Learning — 1× in this paper · explained in 10 episodes

Terminology

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