MR-GDINO: efficient open-world continual object detection
Open-world (OW) recognition and detection models show strong zero-and few-shot
adaptation abilities, inspiring their use as initializations in continual learning methods to …
adaptation abilities, inspiring their use as initializations in continual learning methods to …
LLMDet: Learning Strong Open-Vocabulary Object Detectors under the Supervision of Large Language Models
Recent open-vocabulary detectors achieve promising performance with abundant region-
level annotated data. In this work, we show that an open-vocabulary detector co-training with …
level annotated data. In this work, we show that an open-vocabulary detector co-training with …