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 28512860 of 10420 papers

TitleStatusHype
Evaluating The Robustness of Self-Supervised Representations to Background/Foreground Removal0
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled DataCode0
Is Generative Modeling-based Stylization Necessary for Domain Adaptation in Regression Tasks?0
Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-TuningCode1
Vocabulary-free Image ClassificationCode1
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One DayCode4
A Robust Feature Downsampling Module for Remote Sensing Visual TasksCode1
Exploring the Versatility of Zero-Shot CLIP for Interstitial Lung Disease Classification0
Addressing Discrepancies in Semantic and Visual Alignment in Neural Networks0
Pseudo Labels for Single Positive Multi-Label Learning0
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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