EReCu: Pseudo-label Evolution Fusion and Refinement with Multi-Cue Learning for Unsupervised Camouflage Detection

arXiv:2603.11521 · cs.CV, cs.AI · Submitted 2026-03-12 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-03-12

Updated: 2026-08-31

Code: https://github.com/JSLiam94/EReCu

Terminology

Pseudo-labels — 29× in this paper · explained in 2 episodes
Fidelity — 10× in this paper · explained in 2 episodes
Multi-Cue Native Perception — 9× in this paper
Unsupervised Camouflaged Object Detection — 8× in this paper
Alignment — 7× in this paper · explained in 1 episode
Consistency — 7× in this paper · explained in 3 episodes
Local Pseudo-Label Refinement — 6× in this paper
Pseudo-Label Evolution Fusion — 6× in this paper
Spectral Tensor Attention Fusion — 6× in this paper
Generalization — 5× in this paper · explained in 13 episodes
Transformer — 5× in this paper · explained in 2 episodes
Aggregation — 4× in this paper · explained in 1 episode
Evolutionary Pseudo-Label Learning — 4× in this paper
Ablation — 3× in this paper · explained in 1 episode
Abstraction — 3× in this paper · explained in 1 episode
Regularization — 3× in this paper · explained in 3 episodes
Target-Aware Attention Selection — 3× in this paper
Unsupervised Object Segmentation — 3× in this paper
Ablation Studies — 2× in this paper · explained in 1 episode
Adaptation — 2× in this paper · explained in 1 episode
Attention Entropy — 2× in this paper · explained in 2 episodes
Benchmark — 2× in this paper · explained in 2 episodes
Core — 2× in this paper · explained in 2 episodes
Depthwise Separable Convolution — 2× in this paper
Diffusion Model — 2× in this paper · explained in 8 episodes
Instance Segmentation — 2× in this paper · explained in 3 episodes
Local Pseudo-Label Generation — 2× in this paper
Segmentation Masks — 2× in this paper · explained in 2 episodes
Structural Integrity — 2× in this paper · explained in 3 episodes
Ablation study — 1× in this paper · explained in 1 episode
Accuracy — 1× in this paper · explained in 1 episode
Adam — 1× in this paper · explained in 2 episodes
AdamW Optimizer — 1× in this paper · explained in 1 episode
Cosine Similarity — 1× in this paper · explained in 3 episodes
Difference of Gaussian — 1× in this paper
Diffusion Models — 1× in this paper · explained in 6 episodes
Domain Adaptation — 1× in this paper · explained in 5 episodes
Embeddings — 1× in this paper · explained in 2 episodes
Exponential Moving Average — 1× in this paper
Exponential Moving Average (EMA) — 1× in this paper · explained in 2 episodes
Feature Extraction — 1× in this paper · explained in 2 episodes
Local Binary Pattern — 1× in this paper
Multimodal Dataset — 1× in this paper · explained in 2 episodes
Redundancy — 1× in this paper · explained in 2 episodes
Representation Learning — 1× in this paper · explained in 2 episodes
Robustness — 1× in this paper · explained in 5 episodes
Self-Supervised Learning — 1× in this paper · explained in 8 episodes
Semantic Drift — 1× in this paper · explained in 3 episodes
Singular Value Decomposition — 1× in this paper
Singular Value Decomposition (SVD) — 1× in this paper · explained in 2 episodes
Temporal consistency — 1× in this paper · explained in 2 episodes
Tucker Decomposition — 1× in this paper · explained in 2 episodes

Sources

Decoupled Weight Decay Regularization

Terminology

Sources

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