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 30113020 of 10420 papers

TitleStatusHype
A second-order-like optimizer with adaptive gradient scaling for deep learningCode0
Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel MachinesCode0
Core Tokensets for Data-efficient Sequential Training of TransformersCode0
Contrastive Learning to Fine-Tune Feature Extraction Models for the Visual Cortex0
Conformal Structured PredictionCode0
Art Forgery Detection using Kolmogorov Arnold and Convolutional Neural Networks0
IGroupSS-Mamba: Interval Group Spatial-Spectral Mamba for Hyperspectral Image Classification0
Variable Resolution Pixel Quantization for Low Power Machine Vision Application on Edge0
LoTLIP: Improving Language-Image Pre-training for Long Text Understanding0
Control-oriented Clustering of Visual Latent Representation0
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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