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 12811290 of 10420 papers

TitleStatusHype
AutoMix: Unveiling the Power of Mixup for Stronger ClassifiersCode1
CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN ExecutionCode1
Combating noisy labels by agreement: A joint training method with co-regularizationCode1
FrankenSplit: Efficient Neural Feature Compression with Shallow Variational Bottleneck Injection for Mobile Edge ComputingCode1
AlphaNet: Improved Training of Supernets with Alpha-DivergenceCode1
Combating Label Noise in Deep Learning Using AbstentionCode1
AutoSpeech: Neural Architecture Search for Speaker RecognitionCode1
A survey on attention mechanisms for medical applications: are we moving towards better algorithms?Code1
Billion-scale semi-supervised learning for image classificationCode1
Big Self-Supervised Models Advance Medical Image ClassificationCode1
Show:102550
← PrevPage 129 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