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 2551–2575 of 10420 papers

TitleStatusHype
Measuring directional bias amplification in image captions using predictability—0
Task Vector Quantization for Memory-Efficient Model MergingCode0
Distilling Knowledge into Quantum Vision Transformers for Biomedical Image Classification—0
Brain Inspired Adaptive Memory Dual-Net for Few-Shot Image Classification—0
Keeping Representation Similarity in Finetuning for Medical Image Analysis—0
Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization—0
MADS: Multi-Attribute Document Supervision for Zero-Shot Image Classification—0
A Zero-shot Learning Method Based on Large Language Models for Multi-modal Knowledge Graph Embedding—0
Enhancing Layer Attention Efficiency through Pruning Redundant Retrievals—0
Feature-EndoGaussian: Feature Distilled Gaussian Splatting in Surgical Deformable Scene Reconstruction—0
Minion Gated Recurrent Unit for Continual Learning—0
Disrupting Model Merging: A Parameter-Level Defense Without Sacrificing Accuracy—0
Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation—0
Pathological Prior-Guided Multiple Instance Learning For Mitigating Catastrophic Forgetting in Breast Cancer Whole Slide Image Classification—0
AF-KAN: Activation Function-Based Kolmogorov-Arnold Networks for Efficient Representation Learning—0
Randomized based restricted kernel machine for hyperspectral image classification—0
Sharpness-Aware Minimization: General Analysis and Improved RatesCode0
Measurement noise scaling laws for cellular representation learningCode0
Remote Sensing Image Classification Using Convolutional Neural Network (CNN) and Transfer Learning Techniques—0
ViKANformer: Embedding Kolmogorov Arnold Networks in Vision Transformers for Pattern-Based Learning—0
Label Ranker: Self-Aware Preference for Classification Label Position in Visual Masked Self-Supervised Pre-Trained ModelCode0
SAR-W-MixMAE: SAR Foundation Model Training Using Backscatter Power Weighting—0
Mathematical Foundation of Interpretable Equivariant Surrogate Models—0
Mamba base PKD for efficient knowledge compression—0
Transformer Meets Twicing: Harnessing Unattended Residual InformationCode0
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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