Image Classification

1LoRA: Summation Compression for Very Low-Rank Adaptation
We propose 1LoRA (Summation Low-Rank Adaptation), a compute, parameter and memory efficient fine-tuning method which uses the feature sum as fixed compression and a single trainable vector as decompression.
Alessio Quercia, Zhuo Cao, Arya Bangun, Richard D. Paul, Abigail Morrison, Ira Assent, Hanno Scharr
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Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks
We propose to improve MDE while using auxiliary datasets from related vision tasks with an alternating training scheme with a shared decoder built on top of a pre-trained vision foundation model.
Alessio Quercia, Erenus Yildiz, Zhuo Cao, Kai Krajsek, Abigail Morrison, Ira Assent, Hanno Scharr
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