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 33013310 of 10420 papers

TitleStatusHype
Employing Sentence Space Embedding for Classification of Data Stream from Fake News DomainCode0
Deep Learning Algorithms for Early Diagnosis of Acute Lymphoblastic Leukemia0
A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification0
Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays OffCode0
CAMP: Continuous and Adaptive Learning Model in PathologyCode0
Seq-to-Final: A Benchmark for Tuning from Sequential Distributions to a Final Time PointCode0
Open Vocabulary Multi-Label Video Classification0
SlideGCD: Slide-based Graph Collaborative Training with Knowledge Distillation for Whole Slide Image ClassificationCode0
A Mathematical Framework, a Taxonomy of Modeling Paradigms, and a Suite of Learning Techniques for Neural-Symbolic SystemsCode0
GPC: Generative and General Pathology Image Classifier0
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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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified