Recent advances in convolutional neural networks
In the last few years, deep learning has led to very good performance on a variety of
problems, such as visual recognition, speech recognition and natural language processing …
problems, such as visual recognition, speech recognition and natural language processing …
Fashion meets computer vision: A survey
Fashion is the way we present ourselves to the world and has become one of the world's
largest industries. Fashion, mainly conveyed by vision, has thus attracted much attention …
largest industries. Fashion, mainly conveyed by vision, has thus attracted much attention …
Winclip: Zero-/few-shot anomaly classification and segmentation
Visual anomaly classification and segmentation are vital for automating industrial quality
inspection. The focus of prior research in the field has been on training custom models for …
inspection. The focus of prior research in the field has been on training custom models for …
Multimodal unsupervised image-to-image translation
Unsupervised image-to-image translation is an important and challenging problem in
computer vision. Given an image in the source domain, the goal is to learn the conditional …
computer vision. Given an image in the source domain, the goal is to learn the conditional …