3 papers
cs.CV2026
InterPruner: Interactive Structured Pruning via Taylor-Implicit Criterion and Language-Prior Modulator for Multimodal Object Detection
Qi Ming, Zihan Yang, Shaoguang Huang +6
Multimodal object detection proves effective in remote sensing, especially the RGB-Infrared paradigm. The parallel feature extractors provide rich multimodal information for robust…
cs.CV2026
DyFrDet: Towards Accurate Small Object Detection via Dynamic Frequency Suppression with Label Disambiguation
Zihan Yang, Yang Guo, Hongxing Zhang +2
Despite the remarkable progress over the past decades, accurately identifying small objects remains challenging because of their insufficient visual cues. Previous works typically…
cs.CV2026
Adaptive Spectrum-Aware Feature Disentangled Network for Small Object Detection
Yang Guo, Zihan Yang, Feifei Kou +3
Small Object Detection (SOD) is a fundamental yet challenging problem in computer vision due to its limited spatial resolution and weak visual cues. Although recent approaches have…