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 6301–6350 of 10420 papers

TitleStatusHype
COPS: Controlled Pruning Before Training Starts—0
Methods for Segmentation and Classification of Digital Microscopy Tissue Images—0
A Hardware-Aware Framework for Accelerating Neural Architecture Search Across Modalities—0
Metric-Based Few-Shot Learning for Video Action Recognition—0
GMM-IL: Image Classification using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes—0
MetricOpt: Learning to Optimize Black-Box Evaluation Metrics—0
Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning—0
A Systematic Comparison of Encrypted Machine Learning Solutions for Image Classification—0
CopilotCAD: Empowering Radiologists with Report Completion Models and Quantitative Evidence from Medical Image Foundation Models—0
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning—0
Using Sum-Product Networks to Assess Uncertainty in Deep Active Learning—0
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning—0
Multi-Fake Evolutionary Generative Adversarial Networks for Imbalance Hyperspectral Image Classification—0
Multi-Label Adversarial Perturbations—0
DM-CT: Consistency Training with Data and Model Perturbation—0
MiAMix: Enhancing Image Classification through a Multi-stage Augmented Mixed Sample Data Augmentation Method—0
MIAShield: Defending Membership Inference Attacks via Preemptive Exclusion of Members—0
GLoMo: Unsupervised Learning of Transferable Relational Graphs—0
Global Weighted Average Pooling Bridges Pixel-level Localization and Image-level Classification—0
Microscopic fine-grained instance classification through deep attention—0
Do Better ImageNet Models Transfer Better?—0
Microstructure quality control of steels using deep learning—0
Asynchronous SGD without gradient delay for efficient distributed training—0
MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation—0
Mimicking Ensemble Learning with Deep Branched Networks—0
Do Convnets Learn Correspondence?—0
Global-to-Local Support Spectrums for Language Model Explainability—0
Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak Supervision—0
Mind the Gap: Removing the Discretization Gap in Differentiable Logic Gate Networks—0
Mind the Modality Gap: Towards a Remote Sensing Vision-Language Model via Cross-modal Alignment—0
Global Interaction Modelling in Vision Transformer via Super Tokens—0
MiNet: A Convolutional Neural Network for Identifying and Categorising Minerals—0
Mini-batch graphs for robust image classification—0
Global Feature Guided Local Pooling—0
Convolution goes higher-order: a biologically inspired mechanism empowers image classification—0
Multi-Domain Few-Shot Learning and Dataset for Agricultural Applications—0
Global Deconvolutional Networks for Semantic Segmentation—0
Asynchronous Multi-Server Federated Learning for Geo-Distributed Clients—0
Minimizing the Effect of Noise and Limited Dataset Size in Image Classification Using Depth Estimation as an Auxiliary Task with Deep Multitask Learning—0
Minimum Noticeable Difference based Adversarial Privacy Preserving Image Generation—0
Convolutional XGBoost (C-XGBOOST) Model for Brain Tumor Detection—0
A Graph Neural Network Approach for Product Relationship Prediction—0
MultiCrossViT: Multimodal Vision Transformer for Schizophrenia Prediction using Structural MRI and Functional Network Connectivity Data—0
Advancing Supervised Local Learning Beyond Classification with Long-term Feature Bank—0
MirBot: A collaborative object recognition system for smartphones using convolutional neural networks—0
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models—0
MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer—0
Misaligned orientations of 4f optical neural network for image classification accuracy on various datasets—0
Does deep learning model calibration improve performance in class-imbalanced medical image classification?—0
Asynchronous Hierarchical Federated Learning—0
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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