AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 2 of 2 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
SatOV is proposed, a training-free framework for open-vocabulary remote sensing segmentation that restores spatial priors at two stages of the representation pipeline that consistently improves training-free OVS and achieves competitive quantitative and qualitative results against state-of-the-art methods.
DinoSplat-OV is proposed, a training-free framework that adapts DINOv3 to remote sensing without fine-tuning or additional pretraining, effectively filling the gap of DINO-series models in training-free open-vocabulary segmentation and providing a viable new path for further advances in this direction.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.