Improving Zero-Shot Generalization for CLIP with Synthesized Prompts Z Wang, J Liang, R He, N Xu, Z Wang, T Tan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 13 | 2023 |
A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation Z Wang, J Liang, L Sheng, R He, Z Wang, T Tan Proceedings of International Conference on Learning Representations (ICLR), 2024 | 2 | 2024 |
Exploiting Semantic Attributes for Transductive Zero-Shot Learning Z Wang, J Liang, Z Wang, T Tan IEEE International Conference on Acoustics, Speech and Signal Processing …, 2023 | 2 | 2023 |
Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models Z Wang, J Liang, R He, Z Wang, T Tan arXiv preprint arXiv:2402.04050, 2024 | | 2024 |
Self-training solutions for the ICCV 2023 GeoNet Challenge L Sheng, Z Wang, J Liang arXiv preprint arXiv:2311.16843, 2023 | | 2023 |
Towards Realistic Unsupervised Fine-tuning with CLIP J Liang, L Sheng, Z Wang, R He, T Tan arXiv preprint arXiv:2308.12919, 2023 | | 2023 |