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Found 5 papers, 3 papers with code
General Image Descriptors for Open World Image Retrieval using ViT CLIP
The Google Universal Image Embedding (GUIE) Challenge is one of the first competitions in multi-domain image representations in the wild, covering a wide distribution of objects: landmarks, artwork, food, etc.
Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images
We validate our approach on histology and radiology images, and demonstrate its ability to provide meaningful explanations that are more informative than GradCAM heatmaps.
ToxicBlend: Virtual Screening of Toxic Compounds with Ensemble Predictors
Timely assessment of compound toxicity is one of the biggest challenges facing the pharmaceutical industry today.
Ranked #4 on
Drug Discovery
on Tox21
Image Segmentation by Iterative Inference from Conditional Score Estimation
We experimentally find that the proposed iterative inference from conditional score estimation by conditional denoising autoencoders performs better than comparable models based on CRFs or those not using any explicit modeling of the conditional joint distribution of outputs.
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
State-of-the-art approaches for semantic image segmentation are built on Convolutional Neural Networks (CNNs).
Ranked #9 on
Semantic Segmentation
on CamVid
