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 17761800 of 10420 papers

TitleStatusHype
Class Distance Weighted Cross-Entropy Loss for Ulcerative Colitis Severity EstimationCode1
An Overview of Deep Learning Architectures in Few-Shot Learning DomainCode1
Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need?Code1
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network CalibrationCode1
Explainable Deep Learning Methods in Medical Image Classification: A SurveyCode1
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use caseCode1
Explaining and Harnessing Adversarial ExamplesCode1
Age Estimation Using Expectation of Label Distribution LearningCode1
CoAtNet: Marrying Convolution and Attention for All Data SizesCode1
Explaining in Style: Training a GAN to explain a classifier in StyleSpaceCode1
Explaining Latent Representations with a Corpus of ExamplesCode1
Explaining Predictions of Non-Linear Classifiers in NLPCode1
Rethinking Transfer Learning for Medical Image ClassificationCode1
CoCa: Contrastive Captioners are Image-Text Foundation ModelsCode1
Discovering and Mitigating Visual Biases through Keyword ExplanationCode1
LR-Net: A Block-based Convolutional Neural Network for Low-Resolution Image ClassificationCode1
Generative Classifiers as a Basis for Trustworthy Image ClassificationCode1
Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image ClassificationCode1
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?Code1
Adversarial AutoMixupCode1
Revisiting Sparse Convolutional Model for Visual RecognitionCode1
NoisyNN: Exploring the Impact of Information Entropy Change in Learning SystemsCode1
Generative Hierarchical Features from Synthesizing ImagesCode1
Exploring Vision Transformers for Fine-grained ClassificationCode1
Co2L: Contrastive Continual LearningCode1
Show:102550
← PrevPage 72 of 417Next →

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