Camouflaged object detection with feature decomposition and edge reconstruction
Camouflaged object detection (COD) aims to address the tough issue of identifying
camouflaged objects visually blended into the surrounding backgrounds. COD is a …
camouflaged objects visually blended into the surrounding backgrounds. COD is a …
Degradation-resistant unfolding network for heterogeneous image fusion
Heterogeneous image fusion (HIF) techniques aim to enhance image quality by merging
complementary information from images captured by different sensors. Among these …
complementary information from images captured by different sensors. Among these …
Strategic preys make acute predators: Enhancing camouflaged object detectors by generating camouflaged objects
Camouflaged object detection (COD) is the challenging task of identifying camouflaged
objects visually blended into surroundings. Albeit achieving remarkable success, existing …
objects visually blended into surroundings. Albeit achieving remarkable success, existing …
Hqg-net: Unpaired medical image enhancement with high-quality guidance
Unpaired medical image enhancement (UMIE) aims to transform a low-quality (LQ) medical
image into a high-quality (HQ) one without relying on paired images for training. While most …
image into a high-quality (HQ) one without relying on paired images for training. While most …
Tcgnet: Type-correlation guidance for salient object detection
Contrast and part-whole relations induced by deep neural networks like Convolutional
Neural Networks (CNNs) and Capsule Networks (CapsNets) have been known as two types …
Neural Networks (CNNs) and Capsule Networks (CapsNets) have been known as two types …
Reti-diff: Illumination degradation image restoration with retinex-based latent diffusion model
Illumination degradation image restoration (IDIR) techniques aim to improve the visibility of
degraded images and mitigate the adverse effects of deteriorated illumination. Among these …
degraded images and mitigate the adverse effects of deteriorated illumination. Among these …
A Comprehensive Review On Deep Learning-Based Data Fusion
The rapid progress in sensor technology and computational capabilities has significantly
improved real-time data collection, enabling precise monitoring of various phenomena and …
improved real-time data collection, enabling precise monitoring of various phenomena and …
GAN-HA: A generative adversarial network with a novel heterogeneous dual-discriminator network and a new attention-based fusion strategy for infrared and visible …
G Lu, Z Fang, J Tian, H Huang, Y Xu, Z Han… - Infrared Physics & …, 2024 - Elsevier
Infrared and visible image fusion (IVIF) aims to preserve thermal radiation information from
infrared images while integrating texture details from visible images. Thermal radiation …
infrared images while integrating texture details from visible images. Thermal radiation …
A survey of camouflaged object detection and beyond
Camouflaged Object Detection (COD) refers to the task of identifying and segmenting
objects that blend seamlessly into their surroundings, posing a significant challenge for …
objects that blend seamlessly into their surroundings, posing a significant challenge for …
SMAE-Fusion: Integrating saliency-aware masked autoencoder with hybrid attention transformer for infrared–visible image fusion
The objective of infrared–visible image fusion (IVIF) is to generate composite images from
multiple modalities that enhance visual representation and support advanced vision tasks …
multiple modalities that enhance visual representation and support advanced vision tasks …