4 papers
Co-Paced Learning Strategy Based on Confidence for Flying Bird Object Detection Model Training
Zi-Wei Sun, Ze-Xi Hua, Heng-Chao Li +1
The flying bird objects captured by surveillance cameras exhibit varying levels of recognition difficulty due to factors such as their varying sizes or degrees of similarity to the…
Self-Paced Learning Strategy with Easy Sample Prior Based on Confidence for the Flying Bird Object Detection Model Training
Zi-Wei Sun, Ze-Xi hua, Heng-Chao Li +1
In order to avoid the impact of hard samples on the training process of the Flying Bird Object Detection model (FBOD model, in our previous work, we designed the FBOD model accordi…
FBD-SV-2024: Flying Bird Object Detection Dataset in Surveillance Video
Zi-Wei Sun, Ze-Xi Hua, Heng-Chao Li +4
A Flying Bird Dataset for Surveillance Videos (FBD-SV-2024) is introduced and tailored for the development and performance evaluation of flying bird detection algorithms in surveil…
A Flying Bird Object Detection Method for Surveillance Video
Ziwei Sun, Zexi Hua, Hengchao Li +1
Aiming at the specific characteristics of flying bird objects in surveillance video, such as the typically non-obvious features in single-frame images, small size in most instances…