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 4976–5000 of 10420 papers

TitleStatusHype
UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality BarrierCode1
Towards End-to-End Image Compression and Analysis with TransformersCode1
Pixel Distillation: A New Knowledge Distillation Scheme for Low-Resolution Image RecognitionCode1
A Simple Single-Scale Vision Transformer for Object Localization and Instance SegmentationCode0
An Empirical Investigation of the Role of Pre-training in Lifelong LearningCode1
How to augment your ViTs? Consistency loss and StyleAug, a random style transfer augmentation—0
Use Image Clustering to Facilitate Technology Assisted Review—0
Classification of diffraction patterns using a convolutional neural network in single particle imaging experiments performed at X-ray free-electron lasers—0
RegionCLIP: Region-based Language-Image PretrainingCode1
Learning to Prompt for Continual LearningCode1
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise ImagesCode1
Learning Interpretable Models Through Multi-Objective Neural Architecture SearchCode0
SGML: A Symmetric Graph Metric Learning Framework for Efficient Hyperspectral Image ClassificationCode0
Towards General and Efficient Active LearningCode1
Exploring Category-correlated Feature for Few-shot Image Classification—0
EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification and Detection Methods Evaluation—0
Heuristic Hyperparameter Optimization for Convolutional Neural Networks using Genetic AlgorithmCode1
Towards a Unified Foundation Model: Jointly Pre-Training Transformers on Unpaired Images and Text—0
An Interpretive Constrained Linear Model for ResNet and MgNet—0
AdaViT: Adaptive Tokens for Efficient Vision TransformerCode1
WOOD: Wasserstein-based Out-of-Distribution DetectionCode1
Simple and Robust Loss Design for Multi-Label Learning with Missing LabelsCode1
Efficient and Reliable Overlay Networks for Decentralized Federated Learning—0
Magnifying Networks for Images with Billions of Pixels—0
A Discriminative Channel Diversification Network for Image ClassificationCode0
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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