3 papers
cs.CV2025
A Hierarchical Semantic Distillation Framework for Open-Vocabulary Object Detection
Shenghao Fu, Junkai Yan, Qize Yang +3
Open-vocabulary object detection (OVD) aims to detect objects beyond the training annotations, where detectors are usually aligned to a pre-trained vision-language model, eg, CLIP,…
cs.CV2025
LLMDet: Learning Strong Open-Vocabulary Object Detectors under the Supervision of Large Language Models
Shenghao Fu, Qize Yang, Qijie Mo +5
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 a…
cs.CV2024
Frozen-DETR: Enhancing DETR with Image Understanding from Frozen Foundation Models
Shenghao Fu, Junkai Yan, Qize Yang +3
Recent vision foundation models can extract universal representations and show impressive abilities in various tasks. However, their application on object detection is largely over…