3 papers
cs.CV2026
Bridging Severe Cross-Modal Misalignment: End-to-End Visible-Infrared Object Detection via Explicit Feature-Domain Affine Registration
Qi Ming, Yuyang Wang, Mingjing Zhao +7
Visible-infrared object detection relies on complementary RGB and thermal cues, but its performance is often degraded by cross-modal spatial misalignment. Most existing methods rel…
cs.CV2026
Plug, Play, and Fortify: A Low-Cost Module for Robust Multimodal Image Understanding Models
Siqi Lu, Wanying Xu, Yongbin Zheng +3
Missing modalities present a fundamental challenge in multimodal models, often causing catastrophic performance degradation. Our observations suggest that this fragility stems from…
cs.CV2025
VK-Det: Visual Knowledge Guided Prototype Learning for Open-Vocabulary Aerial Object Detection
Jianhang Yao, Yongbin Zheng, Siqi Lu +2
To identify objects beyond predefined categories, open-vocabulary aerial object detection (OVAD) leverages the zero-shot capabilities of visual-language models (VLMs) to generalize…