3 papers
cs.CV2024
Attention Is All You Need For Mixture-of-Depths Routing
Advait Gadhikar, Souptik Kumar Majumdar, Niclas Popp +3
Advancements in deep learning are driven by training models with increasingly larger numbers of parameters, which in turn heightens the computational demands. To address this issue…
cs.CV2024
Single-Pass Object-Focused Data Selection
Niclas Popp, Dan Zhang, Jan Hendrik Metzen +2
While unlabeled image data is often plentiful, the costs of high-quality labels pose an important practical challenge: Which images should one select for labeling to use the annota…
cs.CV2024
Mind the Gap Between Synthetic and Real: Utilizing Transfer Learning to Probe the Boundaries of Stable Diffusion Generated Data
Leonhard Hennicke, Christian Medeiros Adriano, Holger Giese +2
Generative foundation models like Stable Diffusion comprise a diverse spectrum of knowledge in computer vision with the potential for transfer learning, e.g., via generating data t…