You've Seen Enough: Quality-Constrained Image Coding for Machines

arXiv:2609.25108 · cs.CV, cs.AI · Submitted 2026-09-20 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-20

Updated: 2026-09-24

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

Terminology

• Image Coding for Machines — 9× in this paper
• Joint Optimization — 9× in this paper
• Fidelity — 6× in this paper · explained in 2 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Transformer — 4× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 3× in this paper
• Latent Representation — 2× in this paper · explained in 2 episodes
• Quantization — 2× in this paper · explained in 12 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Computer Vision and Pattern Recognition Workshops — 1× in this paper
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Moving Picture Experts Group — 1× in this paper
• Peak Signalto-Noise Ratio — 1× in this paper

Sources

• CompressAI-Vision: Open-source software to evaluate compression methods for computer vision tasks
• Recent Standard Development Activities on Video Coding for Machines
• CompressAI: a PyTorch library and evaluation platform for end-to-end compression research

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