Compressive sensing inspired self-supervised single-pixel imaging

arXiv:2603.29732 · cs.CV · Submitted 2026-03-31 · Read on arXiv

cs.CV

Submitted: 2026-03-31

Updated: 2026-09-16

Comments: 10 pages, 9 figures, 2 algorithms, 2 tables, journal paper

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Fidelity — 38× in this paper · explained in 2 episodes
• Sparsity — 38× in this paper · explained in 4 episodes
• Consistency — 14× in this paper · explained in 3 episodes
• Ablation — 12× in this paper · explained in 1 episode
• Loss Function — 8× in this paper · explained in 2 episodes
• Robustness — 8× in this paper · explained in 5 episodes
• Sparsity Encoder — 7× in this paper
• Core — 6× in this paper · explained in 2 episodes
• Sparsity Decoder — 6× in this paper
• Interpretability — 4× in this paper · explained in 15 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• Window Mamba Block — 4× in this paper
• Adaptability — 3× in this paper · explained in 1 episode
• CNN-Visual State Space Model — 3× in this paper
• Inverse Problem — 3× in this paper · explained in 2 episodes
• Iterative Shrinkage-Thresholding Algorithm — 3× in this paper
• Latent Representation — 3× in this paper · explained in 2 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Self-Supervised Learning — 2× in this paper · explained in 7 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Generalizability — 1× in this paper · explained in 6 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Leveraging the Deep Image Prior — 1× in this paper
• Mean Squared Error — 1× in this paper
• PSNR and Contrast-to-Noise Ratio — 1× in this paper
• Representation Learning — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes
• Wavelet Transform — 1× in this paper · explained in 2 episodes

Sources

• ISTA-Net++: Flexible Deep Unfolding Network for Compressive Sensing

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models