DRRNet: Macro-Micro Feature Fusion and Dual Reverse Refinement for Camouflaged Object Detection.

Knowledge Rectification for Camouflaged Object Detection: Unlocking Insights from Low-Quality Data.

Promoting camouflaged object detection through novel edge-target interaction and frequency-spatial fusion.

IdeNet: Making Neural Network Identify Camouflaged Objects Like Creatures.

ECLB: Efficient contrastive learning on bi-level for noisy labels.

SDRNet: Camouflaged object detection with independent reconstruction of structure and detail.

Neighborhood contrastive representation learning for attributed graph clustering.

Progressive image dehazing network based on dual feature extraction modules.

End-to-End Rain Removal Network Based on Progressive Residual Detail Supplement.

Infrared and Visible Image Fusion via Texture Conditional Generative Adversarial Network.