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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 8451–8475 of 10420 papers

TitleStatusHype
AutoGAN: Neural Architecture Search for Generative Adversarial NetworksCode0
Space-time error estimates for deep neural network approximations for differential equations—0
Recent Advances in Deep Learning for Object DetectionCode0
A Fast and Precise Method for Large-Scale Land-Use Mapping Based on Deep Learning—0
Bayesian Inference for Large Scale Image Classification—0
Neural Image Compression and ExplanationCode0
NeuPDE: Neural Network Based Ordinary and Partial Differential Equations for Modeling Time-Dependent Data—0
Feature selection of neural networks is skewed towards the less abstract cue—0
Progressive Transfer LearningCode0
Deep Self-Learning From Noisy Labels—0
Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance PropagationCode0
NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning—0
SqueezeNAS: Fast neural architecture search for faster semantic segmentationCode0
MoGA: Searching Beyond MobileNetV3Code0
Attentive NormalizationCode0
Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification—0
Kannada-MNIST: A new handwritten digits dataset for the Kannada languageCode0
Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network ModelsCode0
Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features—0
Quality Assessment of In-the-Wild VideosCode0
Seeing is Not Believing: Camouflage Attacks on Image Scaling AlgorithmsCode0
Cartoon Face Recognition: A Benchmark DatasetCode0
Competing Ratio Loss for Discriminative Multi-class Image Classification—0
Open Set Domain Adaptation for Image and Action RecognitionCode0
Increasing Shape Bias in ImageNet-Trained Networks Using Transfer Learning and Domain-Adversarial Methods—0
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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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified