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 23112320 of 10420 papers

TitleStatusHype
A fast dynamic graph convolutional network and CNN parallel network for hyperspectral image classification0
Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning0
Competitive Multi-scale Convolution0
Competition-based Adaptive ReLU for Deep Neural Networks0
Learning scale-variant features for robust iris authentication with deep learning based ensemble framework0
Competing Ratio Loss for Discriminative Multi-class Image Classification0
A Fast Approximate AIB Algorithm for Distributional Word Clustering0
Diffusion models applied to skin and oral cancer classification0
Competing Mutual Information Constraints with Stochastic Competition-based Activations for Learning Diversified Representations0
Compensation Learning0
Show:102550
← PrevPage 232 of 1042Next →

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