Understanding Negative Proposals in Generic Few-Shot Object Detection
Recently, Few-Shot Object Detection (FSOD) has received considerable research attention
as a strategy for reducing reliance on extensively labeled bounding boxes. However, current …
as a strategy for reducing reliance on extensively labeled bounding boxes. However, current …
Retentive Compensation and Personality Filtering for Few-Shot Remote Sensing Object Detection
In recent years, few-shot object detection (FSOD) in remote sensing images has attracted
increasing attention. Numerous studies address the challenges posed by both intra-class …
increasing attention. Numerous studies address the challenges posed by both intra-class …
Few-Shot Object Detection in Remote Sensing Images via Data Clearing and Stationary Meta-Learning
Z Yang, W Guan, L Xiao, H Chen - Sensors, 2024 - mdpi.com
Nowadays, the focus on few-shot object detection (FSOD) is fueled by limited remote
sensing data availability. In view of various challenges posed by remote sensing images …
sensing data availability. In view of various challenges posed by remote sensing images …