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 24512460 of 10420 papers

TitleStatusHype
SparseSwin: Swin Transformer with Sparse Transformer BlockCode1
Class-Incremental Grouping Network for Continual Audio-Visual LearningCode1
Distance-Aware eXplanation Based LearningCode0
Gall Bladder Cancer Detection from US Images with Only Image Level LabelsCode0
SABLE: Secure And Byzantine robust LEarning0
DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data AugmentationCode1
TMComposites: Plug-and-Play Collaboration Between Specialized Tsetlin MachinesCode0
When to Learn What: Model-Adaptive Data Augmentation CurriculumCode1
HAct: Out-of-Distribution Detection with Neural Net Activation Histograms0
RR-CP: Reliable-Region-Based Conformal Prediction for Trustworthy Medical Image Classification0
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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