Search Results

MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

kornia/kornia 5 Oct 2021

In this paper, we ask the following question: is it possible to combine the strengths of CNNs and ViTs to build a light-weight and low latency network for mobile vision tasks?

Image Classification Object Detection

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

kornia/kornia ICLR 2021

While the Transformer architecture has become the de-facto standard for natural language processing tasks, its applications to computer vision remain limited.

 Ranked #1 on Image Classification on CIFAR-10 (using extra training data)

Document Image Classification Fine-Grained Image Classification

DeFMO: Deblurring and Shape Recovery of Fast Moving Objects

kornia/kornia CVPR 2021

We propose a method that, given a single image with its estimated background, outputs the object's appearance and position in a series of sub-frames as if captured by a high-speed camera (i. e. temporal super-resolution).

Deblurring Object Tracking +1

Local Patch AutoAugment with Multi-Agent Collaboration

kornia/kornia 20 Mar 2021

We formulate it as a multi-agent reinforcement learning (MARL) problem, where each agent learns an augmentation policy for each patch based on its content together with the semantics of the whole image.

Data Augmentation Fine-Grained Image Recognition +2

CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

kornia/kornia ICCV 2019

Regional dropout strategies have been proposed to enhance the performance of convolutional neural network classifiers.

Domain Generalization Image Captioning +3

mixup: Beyond Empirical Risk Minimization

kornia/kornia ICLR 2018

We also find that mixup reduces the memorization of corrupt labels, increases the robustness to adversarial examples, and stabilizes the training of generative adversarial networks.

Domain Generalization Semi-Supervised Image Classification

A survey on Kornia: an Open Source Differentiable Computer Vision Library for PyTorch

kornia/kornia 21 Sep 2020

This work presents Kornia, an open source computer vision library built upon a set of differentiable routines and modules that aims to solve generic computer vision problems.

Edge Detection Image Augmentation +1

Working hard to know your neighbor's margins: Local descriptor learning loss

kornia/kornia NeurIPS 2017

We introduce a novel loss for learning local feature descriptors which is inspired by the Lowe's matching criterion for SIFT.

Image Retrieval Patch Matching

Kornia: an Open Source Differentiable Computer Vision Library for PyTorch

kornia/kornia 5 Oct 2019

This work presents Kornia -- an open source computer vision library which consists of a set of differentiable routines and modules to solve generic computer vision problems.

Edge Detection Image Augmentation +9

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