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 28812890 of 10420 papers

TitleStatusHype
An Interactive Explanatory AI System for Industrial Quality Control0
Can the state of relevant neurons in a deep neural networks serve as indicators for detecting adversarial attacks?0
Can't Fool Me: Adversarially Robust Transformer for Video Understanding0
Energy-constrained Self-training for Unsupervised Domain Adaptation0
An Intelligent Hybrid Model for Identity Document Classification0
Can representation learning for multimodal image registration be improved by supervision of intermediate layers?0
State Classification of Cooking Objects Using a VGG CNN0
Canonical Correlation Analysis of Datasets with a Common Source Graph0
GPT4Image: Can Large Pre-trained Models Help Vision Models on Perception Tasks?0
Energy-Based Spherical Sparse Coding0
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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