קריאת נתיבי הפענוח: תאימות-בלתי-מלמודה לבקשות-נתיב נגד-פקטואלי לזיהוי עצמים קטנים

תקציר מקורי באנגליתarXiv:2609.06581v1 Announce Type: cross Abstract: Small-object detection remains challenging because limited pixels cause information loss and suppress the scale knowledge encoded in pretrained detectors. Existing approaches mainly improve representations through multiscale training, architecture redesign, or parameter adaptation, implicitly assuming that frozen models lack the required capability. We challenge this assumption and hypothesize that small-object knowledge already exists in frozen detectors but remains underactivated and unstable during query evolution. To test this hypothesis, we propose Counterfactual Query-Trajectory Reliability (CQTR), a training-free framework that elicits latent responses through counterfactual scale interventions and interprets candidate reliability fr