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 1376–1400 of 10419 papers

TitleStatusHype
DualMamba: A Lightweight Spectral-Spatial Mamba-Convolution Network for Hyperspectral Image Classification—0
Minimizing Energy Costs in Deep Learning Model Training: The Gaussian Sampling Approach—0
EEG-ImageNet: An Electroencephalogram Dataset and Benchmarks with Image Visual Stimuli of Multi-Granularity LabelsCode0
fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functionsCode1
Multi-Objective Neural Architecture Search for In-Memory Computing—0
Equivariant Neural Tangent Kernels—0
Scaling Graph Convolutions for Mobile VisionCode1
Evolution-aware VAriance (EVA) Coreset Selection for Medical Image Classification—0
Which Backbone to Use: A Resource-efficient Domain Specific Comparison for Computer VisionCode0
Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification—0
Data-Free Generative Replay for Class-Incremental Learning on Imbalanced DataCode0
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs BetterCode0
A Novel Time Series-to-Image Encoding Approach for Weather Phenomena Classification—0
REP: Resource-Efficient Prompting for Rehearsal-Free Continual Learning—0
Classification Metrics for Image Explanations: Towards Building Reliable XAI-EvaluationsCode0
Cooperative Meta-Learning with Gradient AugmentationCode0
Parameter-Inverted Image Pyramid NetworksCode2
Can Language Models Use Forecasting Strategies?—0
ReDistill: Residual Encoded Distillation for Peak Memory Reduction—0
OCCAM: Towards Cost-Efficient and Accuracy-Aware Image Classification Inference—0
Mind's Eye: Image Recognition by EEG via Multimodal Similarity-Keeping Contrastive LearningCode1
Convolutional Neural Networks and Vision Transformers for Fashion MNIST Classification: A Literature Review—0
FusionBench: A Comprehensive Benchmark of Deep Model FusionCode3
Identification of Stone Deterioration Patterns with Large Multimodal ModelsCode0
Tiny models from tiny data: Textual and null-text inversion for few-shot distillationCode0
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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