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 511520 of 10419 papers

TitleStatusHype
CLIP meets DINO for Tuning Zero-Shot Classifier using Unlabeled Image CollectionsCode1
CleanNet: Transfer Learning for Scalable Image Classifier Training with Label NoiseCode1
Clean-Label Backdoor Attacks on Video Recognition ModelsCode1
CLIP4IDC: CLIP for Image Difference CaptioningCode1
Algorithm-hardware Co-design for Deformable ConvolutionCode1
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image ClassificationCode1
CLCNet: Rethinking of Ensemble Modeling with Classification Confidence NetworkCode1
Class Distance Weighted Cross-Entropy Loss for Ulcerative Colitis Severity EstimationCode1
Class-Difficulty Based Methods for Long-Tailed Visual RecognitionCode1
Optimized spiking neurons classify images with high accuracy through temporal coding with two spikesCode1
Show:102550
← PrevPage 52 of 1042Next →

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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified