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 34813490 of 10420 papers

TitleStatusHype
Improved Gradient based Adversarial Attacks for Quantized NetworksCode0
Deep Gradient Compression Reduce the Communication Bandwidth For distributed TraningCode0
Efficiera Residual Networks: Hardware-Friendly Fully Binary Weight with 2-bit Activation Model Achieves Practical ImageNet AccuracyCode0
eGAN: Unsupervised approach to class imbalance using transfer learningCode0
EG-Booster: Explanation-Guided Booster of ML Evasion AttacksCode0
Avoiding The Double Descent Phenomenon of Random Feature Models Using Hybrid RegularizationCode0
Improved Activation Clipping for Universal Backdoor Mitigation and Test-Time DetectionCode0
Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray ImagesCode0
Local Relation Networks for Image RecognitionCode0
Soft ascent-descent as a stable and flexible alternative to floodingCode0
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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