Mantis: Mamba-native Tuning is Efficient for 3D Point Cloud Foundation Models

arXiv:2605.03438 · cs.CV · Submitted 2026-05-05 · Read on arXiv

cs.CV

Submitted: 2026-05-05

Updated: 2026-09-27

Code: https://github.com/gzhhhhhhh/Mantis

Terminology

Fine-Tuning — 56× in this paper · explained in 5 episodes
Adaptation — 45× in this paper · explained in 1 episode
Consistency — 31× in this paper · explained in 3 episodes
Transformer — 28× in this paper · explained in 2 episodes
Accuracy — 22× in this paper · explained in 1 episode
Ablation — 17× in this paper · explained in 1 episode
Point Clouds — 14× in this paper · explained in 2 episodes
State-Aware Adapter — 13× in this paper
Pattern Recognition — 12× in this paper
Ablation study — 11× in this paper · explained in 1 episode
Parameter-Efficient Fine-Tuning — 11× in this paper · explained in 2 episodes
Downstream Tasks — 10× in this paper · explained in 2 episodes
Distillation — 8× in this paper · explained in 2 episodes
Self-Supervised Learning — 8× in this paper · explained in 7 episodes
Benchmark — 7× in this paper · explained in 2 episodes
Consistency Distillation — 7× in this paper · explained in 2 episodes
Few-Shot Learning — 7× in this paper · explained in 4 episodes
Foundation Model — 7× in this paper · explained in 3 episodes
Robustness — 7× in this paper · explained in 5 episodes
Core — 6× in this paper · explained in 2 episodes
Dual-Serialization Consistency Distillation — 6× in this paper
Foundation Models — 6× in this paper · explained in 7 episodes
Granularity Mismatch — 5× in this paper · explained in 2 episodes
Representation Learning — 5× in this paper · explained in 2 episodes
Conference on Computer Vision and Pattern Recognition — 4× in this paper
Parameter Efficiency — 4× in this paper · explained in 3 episodes
Transfer Learning — 4× in this paper · explained in 10 episodes
Alignment — 3× in this paper · explained in 1 episode
International Conference on Machine Learning — 3× in this paper
Linear Probing — 3× in this paper · explained in 2 episodes
ACM Transactions on Graphics — 2× in this paper
Aggregation — 2× in this paper · explained in 1 episode
Farthest Point Sampling — 2× in this paper
In European Conference on Computer Vision — 2× in this paper
Instance-aware Dynamic Prompt Tuning — 2× in this paper
Institutional Review Board — 2× in this paper
Parameter-Efficient Fine-Tuning (PEFT) — 2× in this paper · explained in 4 episodes
Transferability — 2× in this paper · explained in 4 episodes
Ablation Studies — 1× in this paper · explained in 1 episode
AdamW Optimizer — 1× in this paper · explained in 1 episode
Adaptability — 1× in this paper · explained in 1 episode
Computational overhead — 1× in this paper · explained in 2 episodes
Diffusion Model — 1× in this paper · explained in 8 episodes
Diffusion Models — 1× in this paper · explained in 6 episodes
Generative Model — 1× in this paper · explained in 2 episodes
Generative Models — 1× in this paper · explained in 2 episodes
In International Conference on Computer Vision — 1× in this paper
In International Conference on Learning Representations — 1× in this paper
Multimodal Integration — 1× in this paper · explained in 2 episodes
Redundancy — 1× in this paper · explained in 2 episodes
Regularization — 1× in this paper · explained in 3 episodes
State Space Models (SSMs) — 1× in this paper · explained in 4 episodes
Tokenization — 1× in this paper · explained in 2 episodes

Mantis: Mamba-native Tuning is Efficient for 3D Point Cloud Foundation Models

Terminology

Sources

Related papers