6 citations · 9 across the 5 of their papers we have counts for
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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.CV2021★ 6 cited
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples
Yi Xu, Jiandong Ding, Lu Zhang +1
The scarcity of labeled data is a critical obstacle to deep learning. Semi-supervised learning (SSL) provides a promising way to leverage unlabeled data by pseudo labels. However,…