2 citations · 2 across the 3 of their papers we have counts for
3 papers
Trainable Bitwise Soft Quantization for Input Feature Compression
Karsten Schrödter, Jan Stenkamp, Nina Herrmann +1
The growing demand for machine learning applications in the context of the Internet of Things calls for new approaches to optimize the use of limited compute and memory resources.…
CLIP-Branches: Interactive Fine-Tuning for Text-Image Retrieval
Christian Lülf, Denis Mayr Lima Martins, Marcos Antonio Vaz Salles +2
The advent of text-image models, most notably CLIP, has significantly transformed the landscape of information retrieval. These models enable the fusion of various modalities, such…
RapidEarth: A Search-by-Classification Engine for Large-Scale Geospatial Imagery
Christian Lülf, Denis Mayr Lima Martins, Marcos Antonio Vaz Salles +2
Data exploration and analysis in various domains often necessitate the search for specific objects in massive databases. A common search strategy, often known as search-by-classifi…