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 40914100 of 10420 papers

TitleStatusHype
Neural Architecture Search on Efficient Transformers and Beyond0
CrAM: A Compression-Aware MinimizerCode1
On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image Classification0
Text Classification in Memristor-based Spiking Neural NetworksCode1
Image sensing with multilayer, nonlinear optical neural networksCode1
Multi-layer Representation Learning for Robust OOD Image Classification0
Adaptive sampling for scanning pixel cameras0
ALBench: A Framework for Evaluating Active Learning in Object DetectionCode2
Contrastive Masked Autoencoders are Stronger Vision LearnersCode1
Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors0
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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