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 36213630 of 10420 papers

TitleStatusHype
Semantic-Aware Local-Global Vision Transformer0
A Particle-based Sparse Gaussian Process Optimizer0
Looking at the posterior: accuracy and uncertainty of neural-network predictions0
CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text LabelsCode2
Cross-Domain Ensemble Distillation for Domain GeneralizationCode1
Differentially Private Image Classification from FeaturesCode0
Relating Regularization and Generalization through the Intrinsic Dimension of Activations0
SVFormer: Semi-supervised Video Transformer for Action RecognitionCode1
Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak Supervision0
Self-Supervised Learning based on Heat Equation0
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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