Losing the name before the box: measuring and repairing what narrow fine-tuning costs a detector outside its deployment vocabulary
cs.RO, cs.CV, cs.LG
Submitted: 2026-09-29
Updated: 2026-09-29
Terminology
Sources
- Not All Forgetting Is Equal: Retention Dynamics in Fine-Tuned Image Classifiers
- YOLOX: Exceeding YOLO Series in 2021
- Soup to go: mitigating forgetting during continual learning with model averaging
- Extending One-Stage Detection with Open-World Proposals
- Mitigating Objectness Bias and Region-to-Text Misalignment for Open-Vocabulary Panoptic Segmentation
- Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift
- Textual Inversion for Efficient Adaptation of Open-Vocabulary Object Detectors Without Forgetting
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