SurANet: Surrounding-Aware Network for Concealed Object Detection via Highly-Efficient Interactive Contrastive Learning Strategy
Y Kang, Q Li, L Fang, J Zhao, X Li - arXiv preprint arXiv:2410.06842, 2024 - arxiv.org
Concealed object detection (COD) in cluttered scenes is significant for various image
processing applications. However, due to that concealed objects are always similar to their …
processing applications. However, due to that concealed objects are always similar to their …
Glconet: Learning multisource perception representation for camouflaged object detection
Recently, the biological perception has been a powerful tool for handling the camouflaged
object detection (COD) task. However, most existing methods are heavily dependent on the …
object detection (COD) task. However, most existing methods are heavily dependent on the …
Efficient Camouflaged Object Detection Network Based on Global Localization Perception and Local Guidance Refinement
X Hu, X Zhang, F Wang, J Sun… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Camouflaged Object Detection (COD) is a challenging visual task due to its complex
contour, diverse scales, and high similarity to the background. Existing COD methods …
contour, diverse scales, and high similarity to the background. Existing COD methods …
DT-F Transformer: Dual transpose fusion transformer for polarization image fusion
Polarization image fusion generates fusion image with richer texture and intensity
information by utilizing images with different polarization directions. To obtain more accurate …
information by utilizing images with different polarization directions. To obtain more accurate …
Multi-granularity Context Perception Network for Open Set Recognition of Camouflaged Objects
Open set recognition (OSR) aims to identify whether a test sample belongs to a semantic
class in the classifier training set. Existing OSR methods exhibit prominent performance on …
class in the classifier training set. Existing OSR methods exhibit prominent performance on …