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 16611670 of 10420 papers

TitleStatusHype
Barlow Twins: Self-Supervised Learning via Redundancy ReductionCode1
Augmentation Strategies for Learning with Noisy LabelsCode1
Moroccan Dialect -Darija- Open DatasetCode1
PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Subset SelectionCode1
Transformer in TransformerCode1
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical ImagingCode1
Do Input Gradients Highlight Discriminative Features?Code1
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without ConvolutionsCode1
FINE Samples for Learning with Noisy LabelsCode1
MetaDelta: A Meta-Learning System for Few-shot Image ClassificationCode1
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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