Latest Research in Infrared Target Detection Methodologies
15 research papers · 2026 median publication year
Top Research Topics in Infrared Target Detection Methodologies
- Computer Vision and Pattern Recognition — 8 papers
- Infrared Target Detection Methodologies — 2 papers
- CCD and CMOS Imaging Sensors — 1 papers
- Solidification and crystal growth phenomena — 1 papers
- Machine Learning — 1 papers
- Generative Adversarial Networks and Image Synthesis — 1 papers
- Image and Video Quality Assessment — 1 papers
Highest-Cited Papers
- Adversarial noise generation modeling-based image denoising method for low-light CMOS sensors
- A Phase Field Model for Image Decomposition and Smoothing
- Spatially Adaptive Noise Injection
- Enhancing Low-resolution Image Representation Through Normalizing Flows
- SloMoDeblur: A Large-Scale Smartphone Image Deblurring Dataset
- Spatial-Aware Modulation for Implicit Neural Representations
- Learning Keypoint-Based Structural Metrics for Super-Resolution Image Quality Assessment
- LaST-SR: Laplace-Inspired Steady-Transient Complex-Frequency Decomposition for Single Image Super-Resolution
- Learning to Restore More: Continual Capability Expansion for Pretrained Image Restoration Models
- Using Channel Representations in Regularization Terms: A Case Study on Image Diffusion
- Fast and Accurate Image Restoration and Generation with Rank Enhanced Linear Attention
- High-Frequency First: A Two-Stage Approach for Improving Image INR
- PRISM: Feature-Guided Hierarchical Inpainting for Dual-Band Infrared Defective Pixel Clusters
- SFPRNet: A Spatio-Frequency Synergistic Progressive Restoration Network for Infrared Image Destriping
- Restoring Without Forgetting: Continual Learning Across Image Degradations