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 31713180 of 10420 papers

TitleStatusHype
DiSa: Directional Saliency-Aware Prompt Learning for Generalizable Vision-Language Models0
Does Data Augmentation Benefit from Split BatchNorms0
Explaining the Black-box Smoothly- A Counterfactual Approach0
Does deep learning model calibration improve performance in class-imbalanced medical image classification?0
Explaining the Unexplained: Revealing Hidden Correlations for Better Interpretability0
Does Distributionally Robust Supervised Learning Give Robust Classifiers?0
Blockout: Dynamic Model Selection for Hierarchical Deep Networks0
Does Haze Removal Help CNN-based Image Classification?0
Dirichlet-based Histogram Feature Transform for Image Classification0
Blockchain Enabled Trustless API Marketplace0
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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