✂️ Segmentation

🎞️ ECCV2026 · 2 paper notes

📌 Same area in other venues: 📷 CVPR2026 (122) · 🔬 ICLR2026 (32) · 🧪 ICML2026 (14) · 🤖 AAAI2026 (29) · 🧠 NeurIPS2025 (45) · 📹 ICCV2025 (73)

Beyond Aesthetics: Quantifying Information Loss in Turbid Scenes

The paper introduces the controlled TUB dataset and Phase-Congruency Delentropy (PCD) to distinguish unattractive underwater images from images that have lost task-relevant structure; PCD correlates most strongly with segmentation performance in the reported real and synthetic experiments, but is not a universal measure of recognizability across arbitrary scenes.

Bridging the Geometry Mismatch: Frequency-Aware Anisotropic Serialization for Thin-Structure SSMs

FGOS-Net separates low-frequency topology modeling from high-frequency detail filtering, using deterministic sub-band-matched scanning and topology-conditioned active probes to reduce crack fragmentation and texture false positives; it achieves 91.29% mIoU and 97.12% clDice on DeepCrack, with 80.2 FPS under the paper's specified RTX 3090 evaluation setting.