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 621630 of 10420 papers

TitleStatusHype
Trainable Noise Model as an XAI evaluation method: application on Sobol for remote sensing image segmentationCode1
A Framework for Inference Inspired by Human Memory MechanismsCode1
Enhancing Sharpness-Aware Optimization Through Variance SuppressionCode1
ClusterFormer: Clustering As A Universal Visual LearnerCode1
NoisyNN: Exploring the Impact of Information Entropy Change in Learning SystemsCode1
MUSTANG: Multi-Stain Self-Attention Graph Multiple Instance Learning Pipeline for Histopathology Whole Slide ImagesCode1
Long-Tail Learning with Foundation Model: Heavy Fine-Tuning HurtsCode1
Interpretability-Aware Vision TransformerCode1
Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit?Code1
Language Models as Black-Box Optimizers for Vision-Language ModelsCode1
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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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 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