Qi Fan
Qi Fan
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Zitiert von
Zitiert von
Few-shot object detection with attention-RPN and multi-relation detector
Q Fan, W Zhuo, CK Tang, YW Tai
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Self-Support Few-Shot Semantic Segmentation
Q Fan, W Pei, YW Tai, CK Tang
European Conference on Computer Vision, 2022
Group collaborative learning for co-salient object detection
Q Fan, DP Fan, H Fu, CK Tang, L Shao, YW Tai
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Commonality-parsing network across shape and appearance for partially supervised instance segmentation
Q Fan, L Ke, W Pei, CK Tang, YW Tai
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Towards robust object detection invariant to real-world domain shifts
Q Fan, M Segu, YW Tai, F Yu, CK Tang, B Schiele, D Dai
The Eleventh International Conference on Learning Representations (ICLR 2023), 2023
GCoNet+: A stronger group collaborative co-salient object detector
P Zheng, H Fu, DP Fan, Q Fan, J Qin, YW Tai, CK Tang, L Van Gool
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Few-shot video object detection
Q Fan, CK Tang, YW Tai
European Conference on Computer Vision, 76-98, 2022
Few-shot object detection with model calibration
Q Fan, CK Tang, YW Tai
European Conference on Computer Vision, 720-739, 2022
Stable Segment Anything Model
Q Fan, X Tao, L Ke, M Ye, Y Zhang, P Wan, Z Wang, YW Tai, CK Tang
arXiv preprint arXiv:2311.15776, 2023
FSODv2: A Deep Calibrated Few-Shot Object Detection Network
Q Fan, W Zhuo, CK Tang, YW Tai
International Journal of Computer Vision, 1-20, 2024
Learning to Learn Better Visual Prompts
F Wang, W Huang, S Yang, Q Fan, L Lan
Proceedings of the AAAI Conference on Artificial Intelligence 38 (6), 5354-5363, 2024
DARNet: Bridging Domain Gaps in Cross-Domain Few-Shot Segmentation with Dynamic Adaptation
H Fan, Q Fan, M Pagnucco, Y Song
arXiv preprint arXiv:2312.04813, 2023
UniBoost: Boost Zero-shot Vision-Language Tasks via Multitask Fine-tuning with Unsupervised Unimodal Pre-training
SUN Yanan, Q Fan, Z Zhong, CK Tang, YW Tai
UniBoost: Unsupervised Unimodal Pre-training for Boosting Zero-shot Vision-Language Tasks
Y Sun, Z Zhong, Q Fan, CK Tang, YW Tai
arXiv preprint arXiv:2306.04715, 2023
Self-Support Few-Shot Semantic Segmentation Supplementary Material
Q Fan, W Pei21, YW Tai, CK Tang
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