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 37313740 of 10420 papers

TitleStatusHype
Backdoor Attack with Mode Mixture Latent Modification0
A Bayesian Approach to OOD Robustness in Image ClassificationCode0
A Converting Autoencoder Toward Low-latency and Energy-efficient DNN Inference at the Edge0
Leveraging Internal Representations of Model for Magnetic Image Classification0
LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations0
Shortcut Learning in Medical Image SegmentationCode0
Dynamic Perturbation-Adaptive Adversarial Training on Medical Image Classification0
Deep Learning Recognition for Arabic Alphabet Sign Language RGB Dataset0
Active Generation for Image ClassificationCode0
Debiased Noise Editing on Foundation Models for Fair Medical Image ClassificationCode0
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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