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 3801–3825 of 10420 papers

TitleStatusHype
Be Your Own Best Competitor! Multi-Branched Adversarial Knowledge Transfer—0
An Analysis of the Expressiveness of Deep Neural Network Architectures Based on Their Lipschitz Constants—0
Detecting Overfitting via Adversarial Examples—0
Explanation of Unintended Radiated Emission Classification via LIME—0
Explanations for Automatic Speech Recognition—0
Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training—0
An Analysis of Pre-Training on Object Detection—0
Explanatory Masks for Neural Network Interpretability—0
Explicit Connection Distillation—0
Explicit Domain Adaptation with Loosely Coupled Samples—0
Explicitly Modeled Attention Maps for Image Classification—0
A probabilistic patch based image representation using Conditional Random Field model for image classification—0
AdaScale SGD: A Scale-Invariant Algorithm for Distributed Training—0
Exploiting Category Names for Few-Shot Classification with Vision-Language Models—0
Detecting Novelties with Empty Classes—0
Exploiting Image-trained CNN Architectures for Unconstrained Video Classification—0
Detecting Localized Adversarial Examples: A Generic Approach using Critical Region Analysis—0
Exploiting Kernel Compression on BNNs—0
Beyond the Visible: Multispectral Vision-Language Learning for Earth Observation—0
AHA! an 'Artificial Hippocampal Algorithm' for Episodic Machine Learning—0
Exploiting Local Features from Deep Networks for Image Retrieval—0
Exploiting Nontrivial Connectivity for Automatic Speech Recognition—0
Galaxy Classification Using Transfer Learning and Ensemble of CNNs With Multiple Colour Spaces—0
GMConv: Modulating Effective Receptive Fields for Convolutional Kernels—0
Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps—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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 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
10RevCol-HTop 1 Accuracy90—Unverified