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

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Showing 951–975 of 10419 papers

TitleStatusHype
Differentially Private Synthetic Medical Data Generation using Convolutional GANsCode1
ConvMLP: Hierarchical Convolutional MLPs for VisionCode1
Diffusion Mechanism in Residual Neural Network: Theory and ApplicationsCode1
Averaging Weights Leads to Wider Optima and Better GeneralizationCode1
AASAE: Augmentation-Augmented Stochastic AutoencodersCode1
Convolutional Channel-wise Competitive Learning for the Forward-Forward AlgorithmCode1
AQD: Towards Accurate Fully-Quantized Object DetectionCode1
HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPSCode1
A Rainbow in Deep Network Black BoxesCode1
Adversarial Robustness on In- and Out-Distribution Improves ExplainabilityCode1
Convolutional Sequence to Sequence LearningCode1
Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing SystemsCode1
A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial ImagesCode1
Convolutional Xformers for VisionCode1
Differentiable Model Scaling using Differentiable TopkCode1
All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path AggregationCode1
Arch-Net: Model Distillation for Architecture Agnostic Model DeploymentCode1
Convolution-enhanced Evolving Attention NetworksCode1
CoProNN: Concept-based Prototypical Nearest Neighbors for Explaining Vision ModelsCode1
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning ProcessesCode1
CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare RecordsCode1
Histopathological Image Classification with Cell Morphology Aware Deep Neural NetworksCode1
HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image ClassificationCode1
Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language RepresentationsCode1
Differentiable Top-k Classification LearningCode1
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10RevCol-HTop 1 Accuracy90—Unverified