IEEE1d
FAIR-CSAR: A Benchmark Dataset for Fine-Grained Object Detection and Recognition Based on Single-Look Complex SAR Images
Abstract: Object detection and recognition (OD&R ... Although existing datasets have included some common targets collected from real-valued intensity SAR images, there still exist some limitations in ...
EurekAlert!4d
A review of camouflaged object detection research and the promise of deep learning
Computer vision is used in many sectors for its ability to monitor and analyze visual data in ways that extend past what ...
GitHub20d
image-detection
Imbalanced data problem image/maritime flags detection. Balancing by using SMOTE, ADASYN, Augmentation, Autoencoder and DGAN. Detection by using two-stage dectetors like: R-CNN, Faster R-CNN and Mask ...
IEEE25d
Multiscale Feature Knowledge Distillation and Implicit Object Discovery for Few-Shot Object Detection in Remote Sensing Images
While few-shot object detection (FSOD) is effective with limited samples, current FSOD methods for remote sensing images still face specific challenges. The “pretraining-transfer” paradigm tends to ...