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Found 5 papers, 1 papers with code
A Volumetric Saliency Guided Image Summarization for RGB-D Indoor Scene Classification
Thus, tasks such as scene classification, identification, indexing, etc., can be performed efficiently using the unique summary.
ParaColorizer: Realistic Image Colorization using Parallel Generative Networks
Also, the images suffer from color bleeding and desaturated backgrounds since a single model trained on full image features is insufficient for learning the diverse data modes.
Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report
To address this problem, we introduce the first Mobile AI challenge, where the target is to develop quantized deep learning-based camera scene classification solutions that can demonstrate a real-time performance on smartphones and IoT platforms.
DSRN: an Efficient Deep Network for Image Relighting
Custom and natural lighting conditions can be emulated in images of the scene during post-editing.
Ranked #4 on
Image Relighting
on VIDIT’20 validation set
Robust Loss Functions under Label Noise for Deep Neural Networks
For binary classification there exist theoretical results on loss functions that are robust to label noise.
