most citedARNet: Self-Supervised FG-SBIR with Unified Sample Feature Alignment and Multi-Scale Token Recycling

2 citations · 2 across the 2 of their papers we have counts for

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cs.CV2026

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation

Yu Zhang, Wenda Zhao, Haojun Tang +1

Existing remote sensing image generation methods are largely confined to single-modality synthesis and therefore fail to exploit the complementary information inherent in multimoda…

cs.CV2024★ 2 cited

ARNet: Self-Supervised FG-SBIR with Unified Sample Feature Alignment and Multi-Scale Token Recycling

Jianan Jiang, Hao Tang, Zhilin Jiang +2

Fine-Grained Sketch-Based Image Retrieval (FG-SBIR) aims to minimize the distance between sketches and corresponding images in the embedding space. However, scalability is hindered…