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Image Classification

272 papers with code · Computer Vision

Image classification is the task of classifying images into various categories.

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Latest papers without code

Fixup Initialization: Residual Learning Without Normalization

ICLR 2019 Hongyi Zhang et al

Normalization layers are a staple in state-of-the-art deep neural network architectures.

IMAGE CLASSIFICATION MACHINE TRANSLATION

01 May 2019

Explaining Image Classifiers by Counterfactual Generation

ICLR 2019 Chun-Hao Chang et al

When a black-box classifier processes an input example to render a prediction, which input features are relevant and why?

IMAGE CLASSIFICATION

01 May 2019

MultiGrain: a unified image embedding for classes and instances

14 Feb 2019Maxim Berman et al

When fed to a linear classifier, the learned embeddings provide state-of-the-art classification accuracy.

IMAGE CLASSIFICATION IMAGE RETRIEVAL

14 Feb 2019

Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification

14 Feb 2019Colin Samplawski et al

Zero-shot learning (ZSL) is one of the most extreme forms of learning from scarce labeled data.

IMAGE CLASSIFICATION ZERO-SHOT LEARNING

14 Feb 2019

On instabilities of deep learning in image reconstruction - Does AI come at a cost?

14 Feb 2019Vegard Antun et al

Deep learning, due to its unprecedented success in tasks such as image classification, has emerged as a new tool in image reconstruction with potential to change the field.

IMAGE CLASSIFICATION IMAGE RECONSTRUCTION

14 Feb 2019

Learning to see across Domains and Modalities

13 Feb 2019Fabio Maria Carlucci

This thesis will focus on a family of transfer learning methods applied to the task of visual object recognition, specifically image classification.

IMAGE CLASSIFICATION OBJECT RECOGNITION TRANSFER LEARNING UNSUPERVISED DOMAIN ADAPTATION

13 Feb 2019

Riemannian joint dimensionality reduction and dictionary learning on symmetric positive definite manifold

11 Feb 2019Hiroyuki Kasai et al

Dictionary leaning (DL) and dimensionality reduction (DR) are powerful tools to analyze high-dimensional noisy signals.

DICTIONARY LEARNING DIMENSIONALITY REDUCTION IMAGE CLASSIFICATION

11 Feb 2019

Bag of Freebies for Training Object Detection Neural Networks

11 Feb 2019Zhi Zhang et al

Comparing with enormous research achievements targeting better image classification models, efforts applied to object detector training are dwarfed in terms of popularity and universality.

IMAGE CLASSIFICATION OBJECT DETECTION

11 Feb 2019

Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion

10 Feb 2019Ryutaro Tanno et al

We provide a theoretical argument as to how the regularization is essential to our approach both for the case of single annotator and multiple annotators.

IMAGE CLASSIFICATION

10 Feb 2019

Deep learning and face recognition: the state of the art

10 Feb 2019Stephen Balaban

In this talk and accompanying paper, I attempt to provide a review and summary of the deep learning techniques used in the state-of-the-art.

FACE RECOGNITION FACE VERIFICATION IMAGE CLASSIFICATION SPEECH RECOGNITION

10 Feb 2019