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 6751–6775 of 10420 papers

TitleStatusHype
In-Hindsight Quantization Range Estimation for Quantized Training—0
A framework for the automation of testing computer vision systems—0
Fish Disease Detection Using Image Based Machine Learning Technique in Aquaculture—0
Incompatibility Clustering as a Defense Against Backdoor Poisoning AttacksCode0
Dynamic Game Theoretic Neural Optimizer—0
MetaKernel: Learning Variational Random Features with Limited LabelsCode0
Exploring Instance Relations for Unsupervised Feature EmbeddingCode0
BasisNet: Two-stage Model Synthesis for Efficient Inference—0
Few-Shot Learning for Image Classification of Common FloraCode0
Relative stability toward diffeomorphisms indicates performance in deep netsCode0
Two4Two: Evaluating Interpretable Machine Learning - A Synthetic Dataset For Controlled ExperimentsCode0
Perceptual Gradient NetworksCode0
Local descriptor-based multi-prototype network for few-shot Learning—0
Synthetic Data for Model Selection—0
Subspace Representation Learning for Few-shot Image Classification—0
Embedding Semantic Hierarchy in Discrete Optimal Transport for Risk Minimization—0
Black-box adversarial attacks using Evolution Strategies—0
Unsupervised data augmentation for object detection—0
Deep Image Destruction: Vulnerability of Deep Image-to-Image Models against Adversarial Attacks—0
Submodular Mutual Information for Targeted Data Subset Selection—0
GM-MLIC: Graph Matching based Multi-Label Image Classification—0
Locality Constrained Analysis Dictionary Learning via K-SVD Algorithm—0
Hardware Architecture of Embedded Inference Accelerator and Analysis of Algorithms for Depthwise and Large-Kernel Convolutions—0
GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathological Image Detection—0
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual RepresentationsCode0
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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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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