Position Anchor Tuning: Towards Efficient Adaptation of Pre-Trained Point Cloud Transformers

arXiv:2609.18056 · cs.CV · Submitted 2026-09-16 · Read on arXiv

cs.CV

Submitted: 2026-09-16

Updated: 2026-09-16

Comments: 10 figures, 7 tables

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Fine-Tuning — 47× in this paper · explained in 5 episodes
Transformer — 30× in this paper · explained in 2 episodes
Adaptation — 26× in this paper · explained in 1 episode
Aggregation — 20× in this paper · explained in 1 episode
Accuracy — 14× in this paper · explained in 1 episode
Downstream Tasks — 11× in this paper · explained in 2 episodes
Anchor Tokens — 10× in this paper · explained in 1 episode
Parameter-Efficient Fine-Tuning — 8× in this paper · explained in 2 episodes
Regularization — 8× in this paper · explained in 3 episodes
Representation Learning — 8× in this paper · explained in 2 episodes
Conference on Computer Vision and Pattern Recognition — 7× in this paper
Point Clouds — 7× in this paper · explained in 2 episodes
Parameter Efficiency — 6× in this paper · explained in 3 episodes
Computational overhead — 5× in this paper · explained in 2 episodes
Token Aggregation Module — 5× in this paper
Token Expansion Module — 4× in this paper
Transfer Learning — 4× in this paper · explained in 10 episodes
Ablation — 3× in this paper · explained in 1 episode
Benchmark — 3× in this paper · explained in 2 episodes
Redundancy — 3× in this paper · explained in 2 episodes
European Conference on Computer Vision — 2× in this paper
Generalization — 2× in this paper · explained in 13 episodes
International Conference on Learning Representations — 2× in this paper
Objective Function — 2× in this paper · explained in 2 episodes
Parameter-Efficient Fine-Tuning (PEFT) — 2× in this paper · explained in 4 episodes
Transformer Architecture — 2× in this paper · explained in 2 episodes
Ablation Studies — 1× in this paper · explained in 1 episode
Adaptivity — 1× in this paper · explained in 1 episode
CVF International Conference on Computer Vision — 1× in this paper
Core — 1× in this paper · explained in 2 episodes
Cosine Similarity — 1× in this paper · explained in 3 episodes
Data Augmentation — 1× in this paper · explained in 7 episodes
Distillation — 1× in this paper · explained in 2 episodes
Feature Extraction — 1× in this paper · explained in 2 episodes
Federated Learning — 1× in this paper · explained in 14 episodes
Few-Shot Learning — 1× in this paper · explained in 4 episodes
International Conference on Machine Learning — 1× in this paper
Multimodal Fusion — 1× in this paper · explained in 3 episodes
Point Cloud Data — 1× in this paper · explained in 2 episodes
Self-Supervised Learning — 1× in this paper · explained in 7 episodes
Unified Framework — 1× in this paper · explained in 5 episodes
Verification — 1× in this paper · explained in 2 episodes
Vision Transformer (ViT) — 1× in this paper · explained in 2 episodes
Winter Conference on Applications of Computer Vision — 1× in this paper

Terminology

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