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 17911800 of 10420 papers

TitleStatusHype
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
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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