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

Showing 37613770 of 10420 papers

TitleStatusHype
Experts Don't Cheat: Learning What You Don't Know By Predicting Pairs0
Explainability-aided Domain Generalization for Image Classification0
An Analysis of Pre-Training on Object Detection0
Adversarially Robust Generalization Requires More Data0
AdaScale SGD: A Scale-Invariant Algorithm for Distributed Training0
EXPLAINABLE AI-BASED DYNAMIC FILTER PRUNING OF CONVOLUTIONAL NEURAL NETWORKS0
Detecting Novelties with Empty Classes0
Detecting Localized Adversarial Examples: A Generic Approach using Critical Region Analysis0
Explainable Analysis of Deep Learning Methods for SAR Image Classification0
Beyond the Visible: Multispectral Vision-Language Learning for Earth Observation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified