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 18111820 of 10420 papers

TitleStatusHype
Optimized spiking neurons classify images with high accuracy through temporal coding with two spikesCode1
Regression Metric Loss: Learning a Semantic Representation Space for Medical ImagesCode1
A Partially Reversible U-Net for Memory-Efficient Volumetric Image SegmentationCode1
Regularized Optimal Transport Layers for Generalized Global Pooling OperationsCode1
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized LabelsCode1
Class-Incremental Grouping Network for Continual Audio-Visual LearningCode1
Relative Positional Encoding for Transformers with Linear ComplexityCode1
Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated BranchesCode1
CleanNet: Transfer Learning for Scalable Image Classifier Training with Label NoiseCode1
Active Domain Adaptation via Clustering Uncertainty-weighted EmbeddingsCode1
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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