3 papers
cs.CV2026
DualMem: Bypassing the Objectness Bottleneck for Calibrated Unknown-Stream Filtering in Open-World Object Detection
Yingjun Xiao, Xi Chen, Gang Fang +1
Open-world object detection (OWOD) requires detectors to localize known classes while identifying unknown objects for future incremental learning. We find that the unknown predicti…
cs.CV2026
Evidence-Guided Unknown Rejection for High-Confidence Near-Known Unknowns
Xi Chen, Yingjun Xiao, Gang Fang
Open-set recognition systems face a neglected failure mode: high-confidence near-known unknowns, which lie outside the known label set but are close enough to known classes that a…
cs.CV2026
Metric-Guided Feature Fusion of Visual Foundation Models for Segmentation Tasks
Yachan Guo, JoseLuis Gomez Zurita, Danna Xue +2
Although large-scale visual foundation models (VFMs) achieve remarkable performance in semantic understanding, they still underperform in instance-aware dense prediction tasks. The…