arXiv Computer Vision By Haojing Chen, Zhihang Liu, Yutong Li, Tao Tan, Haoyu Bian, Qiuju Ma

ORSIFlow: Saliency-Guided Rectified Flow for Optical Remote Sensing Salient Object Detection

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ORSIFlow is a saliency‑guided rectified flow framework for optical remote sensing salient object detection that reframes the task as deterministic latent flow generation. It uses a frozen variational autoencoder to produce saliency masks in a compact latent space, allowing efficient inference with few steps. The method incorporates a Salient Feature Discriminator for global semantic discrimination and a Salient Feature Calibrator for precise boundary refinement, achieving state‑of‑the‑art performance on multiple public benchmarks.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

arXiv AI
2d ago

Mitigating Saliency Collapse: Robust Saliency-Aware Long-Text Image-Text Alignment

The paper introduces RoSA, a saliency-aware fine‑tuning framework for long‑text image‑text alignment that addresses the failure mode of saliency collapse. RoSA decomposes image‑text pairs into salient and contextual views using a modality‑independent strategy that combines visual saliency estimation with LLM‑based text decomposition, and employs auxiliary objectives to align these views. The method improves long‑text retrieval performance and robustness to saliency collapse, and its auxiliary objectives can be added to existing tuning methods for consistent gains.

By Qiuyu Kong, Zanxi Ruan, Marco Cristani, Yiming Wang