Dark Side Augmentation: Generating Diverse Night Examples for Metric Learning
Image retrieval methods based on CNN descriptors rely on metric learning from a large
number of diverse examples of positive and negative image pairs. Domains, such as night …
number of diverse examples of positive and negative image pairs. Domains, such as night …
CCMR: High Resolution Optical Flow Estimation via Coarse-to-Fine Context-Guided Motion Reasoning
Attention-based motion aggregation concepts have recently shown their usefulness in
optical flow estimation, in particular when it comes to handling occluded regions. However …
optical flow estimation, in particular when it comes to handling occluded regions. However …
Vista Morph-Unsupervised Image Registration of Visible-Thermal Facial Pairs
For a variety of biometric cross-spectral tasks, Visible-Thermal (VT) facial pairs are used.
However, due to a lack of calibration, photographic capture between two different imaging …
However, due to a lack of calibration, photographic capture between two different imaging …
Vision Transformer for Skin Cancer Identification Based on Contrastive Learning and Adaptive-Scale Fragmentation
MA Naeem, S Yang, A Sharif, MA Saleem, MI Sharif - 2024 - researchsquare.com
The approach of image processing and deep learning has shown to be a breakthrough in
the field of medical image diagnosis such as dermoscopic image analysis for skin cancer …
the field of medical image diagnosis such as dermoscopic image analysis for skin cancer …
[PDF][PDF] When Segment and Track Anything Meets Wildlife Videos
H Wang - 2023 - fbmn.h-da.de
Wildlife conservation is more important than ever to protect biodiversity and keep the
balance of the ecosystem. In recent years, machine learning and deep learning have been …
balance of the ecosystem. In recent years, machine learning and deep learning have been …