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 38513860 of 10420 papers

TitleStatusHype
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision ModelsCode1
CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification0
Distance Based Image Classification: A solution to generative classification's conundrum?Code0
Time-Varying Propensity Score to Bridge the Gap between the Past and Present0
Learning with Limited Samples -- Meta-Learning and Applications to Communication Systems0
Membership Inference Attacks Against Text-to-image Generation Models0
Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuningCode1
Feature Embedding by Template Matching as a ResNet Block0
LPT: Long-tailed Prompt Tuning for Image ClassificationCode1
Towards a Unified View on Visual Parameter-Efficient Transfer LearningCode1
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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