Frontiers

Orchestrating segment anything models to accelerate segmentation annotation on agricultural image datasets

The final, formatted version of the article will be published soon. Increasingly many applications of machine vision and artificial intelligence (AI) can be observed in agriculture. Yet, high quality ...
IEEE

Dual-Prompt-Enhanced Multiorgan Segmentation Model for Total-Body PET Images

Abstract: Multiorgan segmentation in total-body positron emission tomography (PET) images is crucial for accurately locating abnormalities and assisting in the observation of corresponding metabolic ...
Tech Xplore

An AI approach for single-image-based 3D character animation with preserved proportions

In Proceedings of the SIGGRAPH Asia 2025 Conference Papers, a research team affiliated with UNIST reports a new AI technology ...
IEEE

Toward Effective Model Merging in Semantic Segmentation

Abstract: Model merging has become a popular approach for combining individual models into a single model that inherits their capabilities and achieves improved performance. However, its success has ...
GitHub

DeepAndes: A Self-Supervised Vision Foundation Model for Multi-Spectral Remote Sensing Imagery of the Andes (IEEE JSTARS2025)

This is an ongoing project for developing foundation models for the GEOPACHA web app. Use Pre-trained backbone (via Pytorch Hub) Launch Pre-training Zero-shot: Image to Image Retrieval Few-shot ...
GitHub

SVG: Latent Diffusion Model without Variational Autoencoder

SVG Autoencoder - Uses a frozen representation encoder with a residual branch to compensate the information loss and a learned convolutional decoder to transfer the SVG latent space to pixel space.