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Junnian Li

2 accepted papers

2025

EDSOD: An Encoder-Decoder, Diffusion-model, and Swin-Transformer-based Small Object Detector

IROS 2025

Small object detection (SOD) given aerial images suffers from an information imbalance across different feature scales. This makes it extremely challenging to perform accurate SOD. Existing methods, e.g., Feature Pyramid Network (FPN)-based algorithms, focus on extracting high-resolution and low-res

Cited by 1SourcecodeScholar
2024

QuerySOD: A Small Object Detection Algorithm Based on Sparse Convolutional Network and Query Mechanism

IROS 2024poster

Although remarkable advances have been achieved in generic object detection, small object detection (SOD) remains challenging owing to small objects’ information loss and noisy representation caused by their non-uniform distribution. Their limited width and height, scale variations, and redundant co…

Cited by 1SourceScholar