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 24612470 of 10420 papers

TitleStatusHype
3D Wavelet Convolutions with Extended Receptive Fields for Hyperspectral Image ClassificationCode0
Diversity-Driven Learning: Tackling Spurious Correlations and Data Heterogeneity in Federated Models0
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
Comparative Analysis of Different Methods for Classifying Polychromatic Sketches0
A Hybrid Fully Convolutional CNN-Transformer Model for Inherently Interpretable Medical Image Classification0
Hypergraph Vision Transformers: Images are More than Nodes, More than Edges0
FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations0
MultiCore+TPU Accelerated Multi-Modal TinyML for Livestock Behaviour Recognition0
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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