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 80768100 of 10420 papers

TitleStatusHype
Optimizing Convolutional Neural Networks for Embedded Systems by Means of Neuroevolution0
Scale-Equivariant Steerable NetworksCode0
DeepSearch: A Simple and Effective Blackbox Attack for Deep Neural NetworksCode0
A CNN-RNN Framework for Image Annotation from Visual Cues and Social Network Metadata0
Generative Image Translation for Data Augmentation in Colorectal Histopathology ImagesCode0
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain AdaptationCode0
Cross-Domain Image Classification through Neural-Style Transfer Data AugmentationCode0
Context-Gated ConvolutionCode0
Blink: Fast and Generic Collectives for Distributed ML0
The Expressivity and Training of Deep Neural Networks: toward the Edge of Chaos?0
Demon: Improved Neural Network Training with Momentum DecayCode0
Multi-Stage Pathological Image Classification using Semantic Segmentation0
On the adequacy of untuned warmup for adaptive optimizationCode0
Cribriform pattern detection in prostate histopathological images using deep learning models0
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural NetworksCode2
Dynamic Mode Decomposition based feature for Image ClassificationCode0
Observer Dependent Lossy Image CompressionCode0
Deformable Kernels: Adapting Effective Receptive Fields for Object DeformationCode0
Deep Neural Network Compression for Image Classification and Object DetectionCode0
Deep Kernel Learning via Random Fourier Features0
Algorithmic Probability-guided Supervised Machine Learning on Non-differentiable Spaces0
Soft-Label Dataset Distillation and Text Dataset DistillationCode1
Covariance-free Partial Least Squares: An Incremental Dimensionality Reduction MethodCode0
Distributed Learning of Deep Neural Networks using Independent Subnet TrainingCode0
Tensor-based algorithms for 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