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 39914000 of 10420 papers

TitleStatusHype
Text as Image: Learning Transferable Adapter for Multi-Label Classification0
Cross-Modal Alternating Learning with Task-Aware Representations for Continual LearningCode0
On the Robustness of Large Multimodal Models Against Image Adversarial Attacks0
Riemannian Complex Matrix Convolution Network for PolSAR Image Classification0
Classification for everyone : Building geography agnostic models for fairer recognition0
Unsupervised learning on spontaneous retinal activity leads to efficient neural representation geometry0
GDN: A Stacking Network Used for Skin Cancer DiagnosisCode0
CLAMP: Contrastive LAnguage Model Prompt-tuning0
A Comprehensive Literature Review on Sweet Orange Leaf Diseases0
Federated Active Learning for Target Domain GeneralisationCode0
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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