BAP-DETR: Efficient drone object detection network based on bipartite attentive processing and dual fusion encoder
- 10 November 2025
- journal article
- Published by Elsevier in Computer Vision and Image Understanding
- Vol. 262
Abstract
No abstract availableFunding Information
- National Natural Science Foundation of China (92464302)
- National Natural Science Foundation of China (U24A20291)
This publication has 22 references indexed in Scilit:
- HCTD: A CNN-transformer hybrid for precise object detection in UAV aerial imageryComputer Vision and Image Understanding, 2025
- Dynamic Anchor: Density Map Guided Small Object Detector for Tiny PersonsComputer Vision and Image Understanding, 2025
- Adaptive Sparse Convolutional Networks with Global Context Enhancement for Faster Object Detection on Drone Images2023
- Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmarkISPRS Journal of Photogrammetry and Remote Sensing, 2022
- DN-DETR: Accelerate DETR Training by Introducing Query DeNoising2022
- QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection2022
- Feature Selective Anchor-Free Module for Single-Shot Object Detection2019
- The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking2018
- An Analysis of Scale Invariance in Object Detection - SNIP2018
- Deep Residual Learning for Image Recognition2016