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 26012610 of 10420 papers

TitleStatusHype
Steganographic Embeddings as an Effective Data AugmentationCode0
Quantum autoencoders for image classification0
Directional Gradient Projection for Robust Fine-Tuning of Foundation Models0
TransMamba: Fast Universal Architecture Adaption from Transformers to Mamba0
Stochastic Resonance Improves the Detection of Low Contrast Images in Deep Learning Models0
Reliable Explainability of Deep Learning Spatial-Spectral Classifiers for Improved Semantic Segmentation in Autonomous Driving0
Reinforcement Learning for Ultrasound Image Analysis A Comprehensive Review of Advances and Applications0
RingFormer: Rethinking Recurrent Transformer with Adaptive Level Signals0
Likelihood-Ratio Regularized Quantile Regression: Adapting Conformal Prediction to High-Dimensional Covariate Shifts0
Benchmarking MedMNIST dataset on real quantum hardware0
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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