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 31513175 of 10420 papers

TitleStatusHype
GeoNet: Benchmarking Unsupervised Adaptation across Geographies0
Class-Conditioned Transformation for Enhanced Robust Image ClassificationCode0
EVA-CLIP: Improved Training Techniques for CLIP at ScaleCode1
Text-to-Image Diffusion Models are Zero-Shot ClassifiersCode0
Galaxy Classification Using Transfer Learning and Ensemble of CNNs With Multiple Colour Spaces0
Boosting Few-Shot Text Classification via Distribution Estimation0
Deep transfer learning for detecting Covid-19, Pneumonia and Tuberculosis using CXR images -- A Review0
Image Moment Invariants to Rotational Motion Blur0
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning ParadigmCode1
Freestyle Layout-to-Image SynthesisCode1
CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images0
Category Query Learning for Human-Object Interaction ClassificationCode1
FastViT: A Fast Hybrid Vision Transformer using Structural ReparameterizationCode3
Optimal Smoothing Distribution Exploration for Backdoor Neutralization in Deep Learning-based Traffic Systems0
Prompt Tuning based Adapter for Vision-Language Model AdaptionCode1
PIAT: Parameter Interpolation based Adversarial Training for Image Classification0
Exploring Visual Prompts for Whole Slide Image Classification with Multiple Instance Learning0
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning0
MMFormer: Multimodal Transformer Using Multiscale Self-Attention for Remote Sensing Image Classification0
Take 5: Interpretable Image Classification with a Handful of FeaturesCode1
The effectiveness of MAE pre-pretraining for billion-scale pretrainingCode1
A Simple and Generic Framework for Feature Distillation via Channel-wise Transformation0
LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation0
Deployment of Image Analysis Algorithms under Prevalence ShiftsCode0
Exploring the Benefits of Visual Prompting in Differential PrivacyCode0
Show:102550
← PrevPage 127 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