Task-Oriented Visual Feature Compression via Residual Vector Quantization for Device-Edge Multimodal Inference

arXiv:2609.37090 · cs.CV · Submitted 2026-09-29 · Read on arXiv

cs.CV

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Benchmark — 26× in this paper · explained in 2 episodes
• Quantization — 23× in this paper · explained in 12 episodes
• Clustering — 13× in this paper · explained in 2 episodes
• Ablation — 7× in this paper · explained in 1 episode
• Aggregation — 4× in this paper · explained in 1 episode
• Fidelity — 4× in this paper · explained in 2 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Adaptation — 3× in this paper · explained in 1 episode
• Feature Extraction — 3× in this paper · explained in 2 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Redundancy — 3× in this paper · explained in 2 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Feature Selection — 2× in this paper · explained in 4 episodes
• Instruction Tuning — 2× in this paper · explained in 2 episodes
• Multimodal Reasoning — 2× in this paper · explained in 5 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Edge AI — 1× in this paper · explained in 2 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• LoRA Adapters — 1× in this paper · explained in 3 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Vector Quantization (VQ) — 1× in this paper · explained in 2 episodes

Sources

• LLaVA-OneVision: Easy Visual Task Transfer
• Qwen2.5-VL Technical Report
• High Fidelity Neural Audio Compression
• Task-Oriented Communication for Human Action Understanding via Edge-Cloud Co-Inference
• Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model
• FocusLLaVA: A Coarse-to-Fine Approach for Efficient and Effective Visual Token Compression
• Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

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