CrossMambaTuning: Synergistic Spatial and Cross-Layer Adaptation for Machine Vision Compression

arXiv:2608.25568 · cs.CV, cs.AI · Submitted 2026-08-26 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-08-26

Updated: 2026-08-26

Code: https://github.com/rsr1123/CrossMambaTuning

Terminology

Adaptation — 32× in this paper · explained in 1 episode
Fine-Tuning — 21× in this paper · explained in 5 episodes
Redundancy — 17× in this paper · explained in 2 episodes
Transformer — 14× in this paper · explained in 2 episodes
Learned Image Compression — 11× in this paper
Instance Segmentation — 10× in this paper · explained in 3 episodes
Parameter Efficiency — 10× in this paper · explained in 3 episodes
Ablation — 7× in this paper · explained in 1 episode
Ablation study — 6× in this paper · explained in 1 episode
Latent Representation — 6× in this paper · explained in 2 episodes
Affinity Pre-conditioner — 5× in this paper
Alignment — 5× in this paper · explained in 1 episode
Downstream Tasks — 5× in this paper · explained in 2 episodes
Wasserstein Distance — 5× in this paper · explained in 4 episodes
Accuracy — 4× in this paper · explained in 1 episode
Adam — 4× in this paper · explained in 2 episodes
Embeddings — 4× in this paper · explained in 2 episodes
Parameter-Efficient Fine-Tuning — 4× in this paper · explained in 2 episodes
Benchmark — 3× in this paper · explained in 2 episodes
Local Information Extractor — 3× in this paper
Task-Specific Prompt Generator — 3× in this paper
Aggregation — 2× in this paper · explained in 1 episode
Core — 2× in this paper · explained in 2 episodes
Feature Extraction — 2× in this paper · explained in 2 episodes
Generalization — 2× in this paper · explained in 13 episodes
Kullback-Leibler (KL) Divergence — 2× in this paper · explained in 3 episodes
Low-Rank Adaptation (LoRA) — 2× in this paper · explained in 9 episodes
Unified Framework — 2× in this paper · explained in 5 episodes
Adaptability — 1× in this paper · explained in 1 episode
Attention Mechanism — 1× in this paper · explained in 2 episodes
Distribution Shift — 1× in this paper · explained in 5 episodes
Feature Pyramid Network — 1× in this paper
Latent Representations — 1× in this paper · explained in 3 episodes
Latent Space — 1× in this paper · explained in 7 episodes
Loss Function — 1× in this paper · explained in 2 episodes
Overview of the High Efficiency Video Coding — 1× in this paper
Overview of the Versatile Video Coding — 1× in this paper
Parameter-Efficient Fine-Tuning (PEFT) — 1× in this paper · explained in 4 episodes
Quantization — 1× in this paper · explained in 12 episodes
Reinforcement Learning — 1× in this paper · explained in 4 episodes
Representation Learning — 1× in this paper · explained in 2 episodes
Robustness — 1× in this paper · explained in 5 episodes
Scale-Invariant CrossLayer Adapter — 1× in this paper
State Space Models (SSMs) — 1× in this paper · explained in 4 episodes
Structural Constraints — 1× in this paper · explained in 2 episodes
Transfer Learning — 1× in this paper · explained in 10 episodes
Wasserstein Distance and Kullback-Leibler — 1× in this paper

CrossMambaTuning: Synergistic Spatial and Cross-Layer Adaptation for Machine Vision Compression

Terminology

Sources

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