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Image Classification

1161 papers with code · Computer Vision

Image Classification is a fundamental task that attempts to comprehend an entire image as a whole. The goal is to classify the image by assigning it to a specific label. Typically, Image Classification refers to images in which only one object appears and is analyzed. In contrast, object detection involves both classification and localization tasks, and is used to analyze more realistic cases in which multiple objects may exist in an image.

Source: Metamorphic Testing for Object Detection Systems

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Latest papers without code

Learning Representation in Colour Conversion

ICLR 2021

Our results show, with respect to the baseline network (whose input and output are RGB) 5-10% higher classification accuracy is obtained with decorrelating ColourConvNets.

IMAGE CLASSIFICATION SCENE SEGMENTATION

ROMUL: Scale Adaptative Population Based Training

ICLR 2021

In most pragmatic settings, data augmentation and regularization are essential, and require hyperparameter search.

DATA AUGMENTATION IMAGE CLASSIFICATION LANGUAGE MODELLING

Certified robustness against physically-realizable patch attack via randomized cropping

ICLR 2021

Our method improves upon the current state of the art in defending against patch attacks on CIFAR10 and ImageNet, both in terms of certified accuracy and inference time.

CROP CLASSIFICATION IMAGE CLASSIFICATION

Dual-Tree Wavelet Packet CNNs for Image Classification

ICLR 2021

In this paper, we target an important issue of deep convolutional neural networks (CNNs) — the lack of a mathematical understanding of their properties.

IMAGE CLASSIFICATION

Uncertainty Calibration Error: A New Metric for Multi-Class Classification

ICLR 2021

Various metrics have recently been proposed to measure uncertainty calibration of deep models for classification.

BAYESIAN INFERENCE IMAGE CLASSIFICATION MULTI-CLASS CLASSIFICATION

On the Effectiveness of Deep Ensembles for Small Data Tasks

ICLR 2021

Deep neural networks represent the gold standard for image classification and many other tasks.

IMAGE CLASSIFICATION

Sparsifying Networks via Subdifferential Inclusion

ICLR 2021

Sparsifying deep neural networks is of paramount interest in many areas, especially when those networks have to be implemented on low-memory devices.

IMAGE CLASSIFICATION SPEECH RECOGNITION TIME SERIES TIME SERIES FORECASTING

More Side Information, Better Pruning: Shared-Label Classification as a Case Study

ICLR 2021

We are given a multi-class prediction problem, combined with a (possibly pre-trained) network architecture for solving it on a given instance distribution, and also a method for pruning the network to allow trading off prediction speed with accuracy.

IMAGE CLASSIFICATION

Ablation Path Saliency

ICLR 2021

The optimal path will stay as long as possible in the current decision region.

IMAGE CLASSIFICATION

AC-VAE: Learning Semantic Representation with VAE for Adaptive Clustering

ICLR 2021

Experimental evaluations show that the proposed method outperforms state-of-the-art representation learning methods in terms of neighbor clustering accuracy.

UNSUPERVISED IMAGE CLASSIFICATION UNSUPERVISED REPRESENTATION LEARNING