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 40314040 of 10420 papers

TitleStatusHype
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning0
Deep Autoencoder Model Construction Based on Pytorch0
Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion ModelCode1
Teacher Guided Training: An Efficient Framework for Knowledge Transfer0
Multi-Attribute Open Set RecognitionCode0
Shuffle Instances-based Vision Transformer for Pancreatic Cancer ROSE Image ClassificationCode1
The SVD of Convolutional Weights: A CNN Interpretability Framework0
Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation0
Incoporating Weighted Board Learning System for Accurate Occupational Pneumoconiosis Staging0
Entropy Induced Pruning Framework for Convolutional Neural Networks0
Show:102550
← PrevPage 404 of 1042Next →

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