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 34413450 of 10420 papers

TitleStatusHype
Efficiently utilizing complex-valued PolSAR image data via a multi-task deep learning framework0
Efficient Masked Autoencoders with Self-Consistency0
Efficient Maximal Coding Rate Reduction by Variational Forms0
Efficient Model-Agnostic Multi-Group Equivariant Networks0
2-speed network ensemble for efficient classification of incremental land-use/land-cover satellite image chips0
Efficient Model Performance Estimation via Feature Histories0
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray0
Feature-level augmentation to improve robustness of deep neural networks to affine transformations0
Feature Losses for Adversarial Robustness0
Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning0
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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