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
AdaNCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer0
Fairness-Aware Meta-Learning via Nash Bargaining0
EEG-ImageNet: An Electroencephalogram Dataset and Benchmarks with Image Visual Stimuli of Multi-Granularity LabelsCode0
DualMamba: A Lightweight Spectral-Spatial Mamba-Convolution Network for Hyperspectral Image Classification0
Minimizing Energy Costs in Deep Learning Model Training: The Gaussian Sampling Approach0
Multi-Objective Neural Architecture Search for In-Memory Computing0
Equivariant Neural Tangent Kernels0
Which Backbone to Use: A Resource-efficient Domain Specific Comparison for Computer VisionCode0
Evolution-aware VAriance (EVA) Coreset Selection for Medical Image Classification0
Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification0
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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