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 23712380 of 10420 papers

TitleStatusHype
Instance-dependent Label Distribution Estimation for Learning with Label NoiseCode0
Instilling Inductive Biases with SubnetworksCode0
An Intelligent Remote Sensing Image Quality Inspection SystemCode0
Combined Depth Space based Architecture Search For Person Re-identificationCode0
Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch NoiseCode0
Instance-based Label Smoothing For Better Calibrated Classification NetworksCode0
A Contrastive Knowledge Transfer Framework for Model Compression and Transfer LearningCode0
Input-gradient space particle inference for neural network ensemblesCode0
In-Place Activated BatchNorm for Memory-Optimized Training of DNNsCode0
Input Invex Neural NetworkCode0
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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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 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