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 26512660 of 10420 papers

TitleStatusHype
DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security InspectionCode0
Learning Hyperparameters via a Data-Emphasized Variational ObjectiveCode0
A Framework for Double-Blind Federated Adaptation of Foundation Models0
Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss0
Scalable Framework for Classifying AI-Generated Content Across ModalitiesCode0
Contrastive Forward-Forward: A Training Algorithm of Vision Transformer0
A framework for river connectivity classification using temporal image processing and attention based neural networks0
An All-digital 8.6-nJ/Frame 65-nm Tsetlin Machine Image Classification AcceleratorCode0
Fairness Analysis of CLIP-Based Foundation Models for X-Ray Image Classification0
Redefining Machine Unlearning: A Conformal Prediction-Motivated Approach0
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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
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