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 22112220 of 10420 papers

TitleStatusHype
PadChannel: Improving CNN Performance through Explicit Padding EncodingCode0
ActiveDC: Distribution Calibration for Active Finetuning0
Learning Symmetrization for Equivariance with Orbit Distance MinimizationCode0
Optimising Human-AI Collaboration by Learning Convincing Explanations0
Attention-Challenging Multiple Instance Learning for Whole Slide Image ClassificationCode1
Connecting the Dots: Graph Neural Network Powered Ensemble and Classification of Medical ImagesCode0
Two Stream Scene Understanding on Graph Embedding0
Follow-Up Differential Descriptions: Language Models Resolve Ambiguities for Image ClassificationCode1
Image Classification using Combination of Topological Features and Neural Networks0
Deep Fast Vision: A Python Library for Accelerated Deep Transfer Learning Vision PrototypingCode1
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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
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