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 29112920 of 10420 papers

TitleStatusHype
Attention Masks Help Adversarial Attacks to Bypass Safety DetectorsCode0
Multimodal Structure-Aware Quantum Data ProcessingCode0
Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization0
Overcoming label shift in targeted federated learning0
Judge Like a Real Doctor: Dual Teacher Sample Consistency Framework for Semi-supervised Medical Image Classification0
Domain Expansion and Boundary Growth for Open-Set Single-Source Domain Generalization0
FUSECAPS: Investigating Feature Fusion Based Framework for Capsule Endoscopy Image Classification0
Exploiting Contextual Uncertainty of Visual Data for Efficient Training of Deep Models0
TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives0
Undermining Image and Text Classification Algorithms Using Adversarial Attacks0
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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