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 29612970 of 10420 papers

TitleStatusHype
Meta-Optimization for Higher Model Generalizability in Single-Image Depth Prediction0
Two-in-One: A Model Hijacking Attack Against Text Generation Models0
Feature Channel Adaptive Enhancement for Fine-Grained Visual Classification0
Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers0
Meta-Learners for Few-Shot Weakly-Supervised Medical Image SegmentationCode0
Towards Effective Visual Representations for Partial-Label LearningCode1
Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classificationCode0
DPMLBench: Holistic Evaluation of Differentially Private Machine LearningCode1
Learning Semi-supervised Gaussian Mixture Models for Generalized Category DiscoveryCode1
A Multi-modal Approach to Single-modal Visual Place Classification0
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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