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cs.CV2025
Fine-Grained Zero-Shot Object Detection
Hongxu Ma, Chenbo Zhang, Lu Zhang +3
Zero-shot object detection (ZSD) aims to leverage semantic descriptions to localize and recognize objects of both seen and unseen classes. Existing ZSD works are mainly coarse-grai…
cs.CV2023★ 1 cited
Meta-ZSDETR: Zero-shot DETR with Meta-learning
Lu Zhang, Chenbo Zhang, Jiajia Zhao +2
Zero-shot object detection aims to localize and recognize objects of unseen classes. Most of existing works face two problems: the low recall of RPN in unseen classes and the confu…
cs.CV2022★ 1 cited
Hierarchical Few-Shot Object Detection: Problem, Benchmark and Method
Lu Zhang, Yang Wang, Jiaogen Zhou +5
Few-shot object detection (FSOD) is to detect objects with a few examples. However, existing FSOD methods do not consider hierarchical fine-grained category structures of objects t…