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 26712680 of 10420 papers

TitleStatusHype
Classification Driven Dynamic Image Enhancement0
Classification-Denoising Networks0
A Lightweight Randomized Nonlinear Dictionary Learning Method using Random Vector Functional Link0
RenderBender: A Survey on Adversarial Attacks Using Differentiable Rendering0
An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning0
Classification and Retrieval of Digital Pathology Scans: A New Dataset0
Adversarial attacks to image classification systems using evolutionary algorithms0
Classification and reconstruction of spatially overlapping phase images using diffractive optical networks0
Classification Accuracy Improvement for Neuromorphic Computing Systems with One-level Precision Synapses0
A Comprehensive Review of Image Analysis Methods for Microorganism Counting: From Classical Image Processing to Deep Learning Approaches0
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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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified