26 citations · 43 across the 3 of their papers we have counts for
Showing cs.CVShow all
2 papers · 1 filter
cs.CV2018
Self Paced Adversarial Training for Multimodal Few-shot Learning
Frederik Pahde, Oleksiy Ostapenko, Patrick Jähnichen +2
State-of-the-art deep learning algorithms yield remarkable results in many visual recognition tasks. However, they still fail to provide satisfactory results in scarce data regimes…
cs.CV2018★ 17 cited
Cross-modal Hallucination for Few-shot Fine-grained Recognition
Frederik Pahde, Patrick Jähnichen, Tassilo Klein +1
State-of-the-art deep learning algorithms generally require large amounts of data for model training. Lack thereof can severely deteriorate the performance, particularly in scenari…