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 4426–4450 of 10420 papers

TitleStatusHype
Large Neural Networks Learning from Scratch with Very Few Data and without Explicit Regularization—0
All-Photonic Artificial Neural Network Processor Via Non-linear Optics—0
Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image Classification of Gastric Cancer—0
Uncertainty-based Network for Few-shot Image Classification—0
Monotonicity Regularization: Improved Penalties and Novel Applications to Disentangled Representation Learning and Robust Classification—0
An Empirical Investigation of Representation Learning for ImitationCode1
Binarizing by Classification: Is soft function really necessary?—0
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification—0
Practical Insights of Repairing Model Problems on Image Classification—0
Corrosion Detection for Industrial Objects: From Multi-Sensor System to 5D Feature Space—0
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNsCode0
ELODI: Ensemble Logit Difference Inhibition for Positive-Congruent TrainingCode0
Simple Open-Vocabulary Object Detection with Vision TransformersCode0
Leveraging Uncertainty for Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology ImagesCode1
Feature Extractor Stacking for Cross-domain Few-shot LearningCode0
Hyperspectral Image Classification With Contrastive Graph Convolutional NetworkCode0
Multi-Label Logo Recognition and Retrieval based on Weighted Fusion of Neural FeaturesCode0
An Empirical Study Of Self-supervised Learning Approaches For Object Detection With TransformersCode0
Analysis of convolutional neural network image classifiers in a rotationally symmetric model—0
A Safety Assurable Human-Inspired Perception Architecture—0
Privacy Enhancement for Cloud-Based Few-Shot LearningCode0
Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training—0
Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task SamplingCode1
Hybrid quantum ResNet for car classification and its hyperparameter optimization—0
Explainable Deep Learning Methods in Medical Image Classification: A SurveyCode1
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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