SOTAVerified

Image Classification

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

Source: Metamorphic Testing for Object Detection Systems

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 9476–9500 of 10420 papers

TitleStatusHype
Data Augmentation by Pairing Samples for Images Classification—0
Deep Supervision with Intermediate Concepts—0
Nonparametric Stochastic Contextual Bandits—0
Enhanced Image Classification With Data Augmentation Using Position Coordinates—0
DENSER: Deep Evolutionary Network Structured RepresentationCode0
Implementation of Deep Convolutional Neural Network in Multi-class Categorical Image Classification—0
Image Augmentation for Object Image Classification Based On Combination of PreTrained CNN and SVM—0
AMLA: an AutoML frAmework for Neural Network Design—0
LEAP: Learning Embeddings for Adaptive Pace—0
Large Scale Multi-Domain Multi-Task Learning with MultiModel—0
Multi-task Learning on MNIST Image Datasets—0
From Information Bottleneck To Activation Norm Penalty—0
Grouping-By-ID: Guarding Against Adversarial Domain Shifts—0
Model Specialization for Inference Via End-to-End Distillation, Pruning, and Cascades—0
On Batch Adaptive Training for Deep Learning: Lower Loss and Larger Step SizeCode0
Transfer Learning on Manifolds via Learned Transport Operators—0
Unsupervised Deep Structure Learning by Recursive Dependency Analysis—0
Fixing Weight Decay Regularization in Adam—0
Matrix capsules with EM routingCode0
CAYLEYNETS: SPECTRAL GRAPH CNNS WITH COMPLEX RATIONAL FILTERS—0
Continuous Convolutional Neural Networks for Image Classification—0
Fast and Accurate Inference with Adaptive Ensemble Prediction for Deep Networks—0
Context aware saliency map generation using semantic segmentation—0
Exploring the significance of using perceptually relevant image decolorization method for scene classification—0
The CAPIO 2017 Conversational Speech Recognition System—0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified