LGFN: Lightweight Gated RGB-Polarization Fusion with Modality-Availability Conditioning for Camouflaged Object Detection

arXiv:2609.12798 · cs.CV · Submitted 2026-09-11 · Read on arXiv

cs.CV

Submitted: 2026-09-11

Updated: 2026-09-20

Terminology

Ablation — 8× in this paper · explained in 1 episode
Consistency — 7× in this paper · explained in 3 episodes
Transformer — 7× in this paper · explained in 2 episodes
Benchmark — 5× in this paper · explained in 2 episodes
Gated Polarization Hub — 4× in this paper
Alignment — 3× in this paper · explained in 1 episode
Core — 3× in this paper · explained in 2 episodes
Ablation Studies — 2× in this paper · explained in 1 episode
Ablation study — 2× in this paper · explained in 1 episode
Accuracy — 2× in this paper · explained in 1 episode
Aggregation — 2× in this paper · explained in 1 episode
Calibration — 2× in this paper · explained in 7 episodes
Feature Pyramid Network — 2× in this paper
Multimodal Fusion — 2× in this paper · explained in 3 episodes
Multimodal Inputs — 2× in this paper · explained in 2 episodes
Regularization — 2× in this paper · explained in 3 episodes
Contrastive Learning — 1× in this paper · explained in 5 episodes
Data Augmentation — 1× in this paper · explained in 7 episodes
Decoupling — 1× in this paper · explained in 2 episodes
Distillation — 1× in this paper · explained in 2 episodes
Downstream Tasks — 1× in this paper · explained in 2 episodes
Iterative Refinement — 1× in this paper · explained in 3 episodes
Loss Function — 1× in this paper · explained in 2 episodes
Multimodal Learning — 1× in this paper · explained in 2 episodes
Representation Learning — 1× in this paper · explained in 2 episodes
Self-Distillation — 1× in this paper · explained in 7 episodes

Terminology

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