The Flow has not summarised this story yet — read it at arXiv Computer Vision.
arXiv:2610.19520v1 Announce Type: new Abstract: Cameras and the foundation models built on them recognize what a 3D scene contains, but not what it is made of: surfaces of the same colour can be diff...
arXiv:2608.30355v1 Announce Type: new Abstract: Recent advances in camouflaged object detection (COD) have led to substantial progress in challenging low-visibility scenarios, with pioneering studies...
The paper introduces a new hyperspectral image dataset for benchmarking salient object detection, comprising 60 hyperspectral images, their ground‑truth binary masks, and corresponding sRGB renderings. The dataset was curated to include diverse object sizes, counts, contrasts, and positions, addressing the lack of dedicated hyperspectral data for this task. The authors also evaluate existing hyperspectral saliency models using the AUC metric and provide the dataset on GitHub and Hugging Face.
arXiv:2610.27883v1 Announce Type: new Abstract: Multispectral aerial object detection aims to exploit spectral-spatial cues to address object detection challenges in complex aerial scenes. Existing m...
Multispectral aerial object detection aims to exploit spectral-spatial cues to address object detection challenges in complex aerial scenes. Existing methods mainly focus on spectral-spatial decouplin...
arXiv:2512.15971v2 Announce Type: replace Abstract: Multispectral object detection is critical for safety-sensitive applications such as autonomous driving and surveillance, where robust perception u...