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 23912400 of 10420 papers

TitleStatusHype
MCU: Improving Machine Unlearning through Mode Connectivity0
A Training Framework for Optimal and Stable Training of Polynomial Neural NetworksCode0
Optimal Control for Transformer Architectures: Enhancing Generalization, Robustness and Efficiency0
CLIP Embeddings for AI-Generated Image Detection: A Few-Shot Study with Lightweight Classifier0
Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting0
CNN and ViT Efficiency Study on Tiny ImageNet and DermaMNIST Datasets0
MoKD: Multi-Task Optimization for Knowledge Distillation0
Convolutional Spiking Neural Network for Image Classification0
Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification0
Synthetic Similarity Search in Automotive Production0
Show:102550
← PrevPage 240 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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified