6 citations · 13 across the 10 of their papers we have counts for
5 papers · 1 filter
Optimizing CLIP Models for Image Retrieval with Maintained Joint-Embedding Alignment
Konstantin Schall, Kai Uwe Barthel, Nico Hezel +1
Contrastive Language and Image Pairing (CLIP), a transformative method in multimedia retrieval, typically trains two neural networks concurrently to generate joint embeddings for t…
Improved Evaluation and Generation of Grid Layouts using Distance Preservation Quality and Linear Assignment Sorting
Kai Uwe Barthel, Nico Hezel, Klaus Jung +1
Images sorted by similarity enables more images to be viewed simultaneously, and can be very useful for stock photo agencies or e-commerce applications. Visually sorted grid layout…
PicArrange -- Visually Sort, Search, and Explore Private Images on a Mac Computer
Klaus Jung, Kai Uwe Barthel, Nico Hezel +1
The native macOS application PicArrange integrates state-of-the-art image sorting and similarity search to enable users to get a better overview of their images. Many file and imag…
GPR1200: A Benchmark for General-Purpose Content-Based Image Retrieval
Konstantin Schall, Kai Uwe Barthel, Nico Hezel +1
Even though it has extensively been shown that retrieval specific training of deep neural networks is beneficial for nearest neighbor image search quality, most of these models are…
Deep Aggregation of Regional Convolutional Activations for Content Based Image Retrieval
Konstantin Schall, Kai Uwe Barthel, Nico Hezel +1
One of the key challenges of deep learning based image retrieval remains in aggregating convolutional activations into one highly representative feature vector. Ideally, this descr…