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 35513560 of 10420 papers

TitleStatusHype
DISCO: Adversarial Defense with Local Implicit FunctionsCode1
General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments0
Analysis of Explainable Artificial Intelligence Methods on Medical Image Classification0
Algorithmic progress in computer vision0
An AI-Powered VVPAT Counter for Elections in IndiaCode0
Dual adaptive training of photonic neural networks0
Reminding Forgetful Organic Neuromorphic Device Networks0
Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive LearningCode1
Frugal Reinforcement-based Active Learning0
Co-training 2^L Submodels for Visual Recognition0
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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