With the rise of deep learning methods, person Re-Identification (ReID) performance has been improved tremendously in many public datasets. However, most public ReID datasets are collected in a short time window in which persons' appearance rarely ch...
We present an empirical study of applying deep Convolutional Neural Networks (CNN) to the task of fashion and apparel image classification to improve meta-data enrichment of e-commerce applications. Five different CNN architectures were analyzed usin...
Recognizing apparel attributes has recently drawn great interest in the computer vision community. Methods based on various deep neural networks have been proposed for image classification, which could be applied to apparel attributes recognition. An...
In apparel recognition, specialized models (e.g. models trained for a particular vertical like dresses) can significantly outperform general models (i.e. models that cover a wide range of verticals). Therefore, deep neural network models are often tr...
Deep Learning to Describe Clothing by Semantic Attributes (⭐ 59)
Apparel detection using deep learning (⭐ 267)
We propose a Deep learning-based weak label learning method for analyzing whole slide images (WSIs) of Hematoxylin and Eosin (H&E) stained tumor tissue not requiring pixel-level or tile-level annotations using Self-supervised pre-training and heterog...
Microsatellite instability (MSI) is a tumor phenotype whose diagnosis largely impacts patient care in colorectal cancers (CRC), and is associated with response to immunotherapy in all solid tumors. Deep learning models detecting MSI tumors directly f...
The accurate diagnosis and molecular profiling of colorectal cancers are critical for planning the best treatment options for patients. Microsatellite instability (MSI) or mismatch repair (MMR) status plays a vital role in appropriate treatment selec...
DEBUG – less granular compared to the TRACE level, but still more than you will need in everyday use. The DEBUG log level should be used for information that may be needed for deeper diagnostics and …
Deep neural networks (DNNs) are known for their high prediction performance, especially in perceptual tasks such as object recognition or autonomous driving. Still, DNNs are prone to yield unreliable predictions when encountering completely new situa...
The intrinsic rotation invariance lies at the core of matching point clouds with handcrafted descriptors. However, it is widely despised by recent deep matchers that obtain the rotation invariance extrinsically via data augmentation. As the finite nu...
Jun 18, 2025 · Reading has always been a deeply personal act—but how we read has changed dramatically across generations. From baby boomers flipping through paperbacks to Gen Z scrolling …
Jan 4, 2021 · What Does Hypoallergenic Really Mean? An allergist takes a deep dive into whether there really is such thing as a hypoallergenic product or pet.
Points: 4 | Comments: 1 | Author: ilanhz
last year around november i put 10k€ into vechain. obviously i’m deep in the red. recently vechain dropped below one euro cent and now i’m thinking about putting another 10k€ in. am i insane...
This paper studies the distribution estimation of contaminated data by the MoM-GAN method, which combines generative adversarial net (GAN) and median-of-mean (MoM) estimation. We use a deep neural network (DNN) with a ReLU activation function to mode...
Light front wave functions motivated by holographic constructions are used to study Bloom-Gilman duality of deep inelastic scattering. Separate expressions for structure functions in terms of quark and hadronic degrees of freedom are presented, with...
Shop All Sneakers The vault goes deep at Flight Club. Shop for new releases from must-have names like Air Jordan, Nike, New Balance and Yeezy, along with the latest collaborations from brands like …
Deep within the vibrant forests of the Americas, a creature of boundless curiosity and distinctive charm roams. With its long, flexible snout constantly twitching, its ringed tail held high, and an insatiable …