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 391400 of 10419 papers

TitleStatusHype
MaxSup: Overcoming Representation Collapse in Label SmoothingCode1
Likelihood-Ratio Regularized Quantile Regression: Adapting Conformal Prediction to High-Dimensional Covariate Shifts0
DAMamba: Vision State Space Model with Dynamic Adaptive ScanCode2
When Segmentation Meets Hyperspectral Image: New Paradigm for Hyperspectral Image ClassificationCode0
RingFormer: Rethinking Recurrent Transformer with Adaptive Level Signals0
Benchmarking MedMNIST dataset on real quantum hardware0
OCT Data is All You Need: How Vision Transformers with and without Pre-training Benefit Imaging0
Leveraging Conditional Mutual Information to Improve Large Language Model Fine-Tuning For Classification0
Simulations of Common Unsupervised Domain Adaptation Algorithms for Image ClassificationCode0
On Space Folds of ReLU Neural Networks0
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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