3 papers
cs.CV2025
Fine-grained Image Retrieval via Dual-Vision Adaptation
Xin Jiang, Meiqi Cao, Hao Tang +2
Fine-Grained Image Retrieval~(FGIR) faces challenges in learning discriminative visual representations to retrieve images with similar fine-grained features. Current leading FGIR s…
cs.MM2025
Rethinking Vision Transformer for Large-Scale Fine-Grained Image Retrieval
Xin Jiang, Hao Tang, Yonghua Pan +1
Large-scale fine-grained image retrieval (FGIR) aims to retrieve images belonging to the same subcategory as a given query by capturing subtle differences in a large-scale setting.…
cs.LG2024
Why pre-training is beneficial for downstream classification tasks?
Xin Jiang, Xu Cheng, Zechao Li
Pre-training has exhibited notable benefits to downstream tasks by boosting accuracy and speeding up convergence, but the exact reasons for these benefits still remain unclear. To…