AFreeCA: Annotation-Free Counting for All
ECCV, 2024
Utilizing latent diffusion models for annotation-free object counting across diverse categories.
I am a researcher dedicated to solving object counting challenges in computer vision using latent diffusion models, with a particular focus on scenarios involving limited data. I have previously focused on artificial intelligence and plant agriculture, and I am passionate about food systems.
Utilizing latent diffusion models for annotation-free object counting across diverse categories.
Reducing the annotation burden for object counting by leveraging ranking supervision.
A analysis of big datasets and the ‘intelligent’ machines which use them in decision support systems for farmers.
Creating name-embeddings for record linkage and document retrieval using Doc2Vec