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PolSAR Image Classification using a Hybrid Complex-Valued Network (HybridCVNet)
arXiv:2605.31137v1 Announce Type: new Abstract: Recently, convolutional neural networks (CNNs) have become popular for image classification due to their effectiveness in computer vision tasks. Now, researchers are exploring the potential of vision transformers (ViTs) in remote sensing and Earth observation. However, traditional Real-Valued networks often overlook important phase information in Complex-Valued (CV) data like polarimetric synthetic aperture radar (PolSAR) data.
Launch HN: Transload (YC P26) – Measuring freight items with CCTV
Hi HN — we’re Julius, Jago, and Nils, and we’re building transload (transload.io).transload helps LTL trucking companies measure freight dimensions using the security cameras already installed in their terminals. Instead of sending shipments through a dedicated dimensioning station, we measure them automatically as they move through the normal dock workflow. We’ve put together a small HN-specific demo site here: https://hn.transload.io/In LTL trucking, dimensions matter because they affect...
OmniFaceRig: Fully Automatic Inner-Mouth-Aware Face Rigging Across Diverse 3D Character Topologies
arXiv:2606.08043v1 Announce Type: new Abstract: Facial rigging - creating FACS-based blendshapes together with inner-mouth geometry (teeth, gums, and tongue) - remains a major bottleneck in 3D character production. Existing pipelines still require substantial designer effort, especially for manual landmark annotation, per-character template adjustment, and inner-mouth placement. We present OmniFaceRig, a fully automatic end-to-end pipeline that converts a static surface-only 3D character...