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 38213830 of 10420 papers

TitleStatusHype
SAE: Single Architecture Ensemble Neural Networks0
Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks0
The SkipSponge Attack: Sponge Weight Poisoning of Deep Neural Networks0
Feature Density Estimation for Out-of-Distribution Detection via Normalizing Flows0
Adaptive Activation Functions for Predictive Modeling with Sparse Experimental DataCode0
LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors0
A Bandit Approach with Evolutionary Operators for Model Selection0
Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning0
Multi-Scale Semantic Segmentation with Modified MBConv Blocks0
EVA-CLIP-18B: Scaling CLIP to 18 Billion ParametersCode0
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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