RAFT

Definitions

1. RAFT is a dense optical-flow architecture based on recurrent all-pairs field transforms. It is commonly used for estimating pixel-level motion between video frames, where teams need predictable behavior under real workloads rather than toy examples. Practitioners pay attention to accuracy on fine motion, memory use, and runtime, because those factors usually determine whether the approach improves quality, latency, reliability, or operating cost in production.

   In plain English: RAFT is an AI concept teams use to train models, guide predictions, or make model behavior more reliable and easier to control in practice.

   Example: "We evaluated RAFT in the new model pipeline because the baseline was plateauing; once it was wired into training and evaluation, quality improved enough to justify rolling it into the next release."

Related Terms

• Lemmatization
• Linear Layer
• Linear Probe
• Linear Regression
• Llama
• Logistic Regression
• Logit
• Long Short-Term Memory