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 39914000 of 10420 papers

TitleStatusHype
Adaptive Temperature Scaling with Conformal Prediction0
Beyond Entropy: Style Transfer Guided Single Image Continual Test-Time Adaptation0
Analyzing Images for Music Recommendation0
Comparing LBP, HOG and Deep Features for Classification of Histopathology Images0
Feature Activation Map: Visual Explanation of Deep Learning Models for Image Classification0
Feature Aligning Few shot Learning Method Using Local Descriptors Weighted Rules0
Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models0
Feature Augmentation for Self-supervised Contrastive Learning: A Closer Look0
GmNet: Revisiting Gating Mechanisms From A Frequency View0
Goal-driven text descriptions for images0
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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