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 34213430 of 10420 papers

TitleStatusHype
Multi-label Image Classification using Adaptive Graph Convolutional Networks: from a Single Domain to Multiple Domains0
Deep Axial Hypercomplex Networks0
Enhancing ResNet Image Classification Performance by using Parameterized Hypercomplex Multiplication0
Deep Residual Axial Networks0
Objective Evaluation-based High-efficiency Learning Framework for Hyperspectral Image Classification0
A Privacy Preserving Method with a Random Orthogonal Matrix for ConvMixer Models0
Dynamic Grained Encoder for Vision TransformersCode1
Deep Learning based Multi-Label Image Classification of Protest Activities0
Semi-Supervised Learning with Pseudo-Negative Labels for Image ClassificationCode0
Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked ModelingCode3
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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