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 221230 of 10419 papers

TitleStatusHype
3D Wavelet Convolutions with Extended Receptive Fields for Hyperspectral Image ClassificationCode0
Embedding Radiomics into Vision Transformers for Multimodal Medical Image Classification0
Diversity-Driven Learning: Tackling Spurious Correlations and Data Heterogeneity in Federated Models0
LEMUR Neural Network Dataset: Towards Seamless AutoMLCode1
Sparse Deformable Mamba for Hyperspectral Image Classification0
An Efficient Quantum Classifier Based on Hamiltonian RepresentationsCode0
MGS: Markov Greedy Sums for Accurate Low-Bitwidth Floating-Point Accumulation0
A Hybrid Fully Convolutional CNN-Transformer Model for Inherently Interpretable Medical Image Classification0
FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations0
Hypergraph Vision Transformers: Images are More than Nodes, More than Edges0
Show:102550
← PrevPage 23 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