LiFR v2: Completion-Augmented Event Propagation for High-Rate Dense Prediction

arXiv:2609.25803 · cs.CV · Submitted 2026-09-22 · Read on arXiv

cs.CV

Submitted: 2026-09-22

Updated: 2026-09-23

Code: https://github.com/TaoWan0610/LiFR-v2

Terminology

Distillation — 22× in this paper · explained in 2 episodes
Benchmark — 12× in this paper · explained in 2 episodes
Accuracy — 7× in this paper · explained in 1 episode
Transformer — 6× in this paper · explained in 2 episodes
Event-Guided Completion Module — 5× in this paper
Adaptation — 4× in this paper · explained in 1 episode
History Retrieval Module — 4× in this paper
Actor — 3× in this paper · explained in 3 episodes
Consistency — 3× in this paper · explained in 3 episodes
Ablation — 2× in this paper · explained in 1 episode
Domain Adaptation — 2× in this paper · explained in 5 episodes
Foundation Model — 2× in this paper · explained in 3 episodes
Foundation Models — 2× in this paper · explained in 7 episodes
Optical Flow — 2× in this paper · explained in 2 episodes
Representation Learning — 2× in this paper · explained in 2 episodes
Ablation Studies — 1× in this paper · explained in 1 episode
Alignment — 1× in this paper · explained in 1 episode
Decode — 1× in this paper · explained in 2 episodes
Generalization — 1× in this paper · explained in 13 episodes
Iterative Refinement — 1× in this paper · explained in 3 episodes
Knowledge Distillation — 1× in this paper · explained in 11 episodes
Transfer Learning — 1× in this paper · explained in 10 episodes
Unified Framework — 1× in this paper · explained in 5 episodes
World Model — 1× in this paper · explained in 7 episodes

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