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 6201–6250 of 10420 papers

TitleStatusHype
MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning—0
Boosting Video Captioning with Dynamic Loss Network—0
Monte Carlo Deep Neural Network Arithmetic—0
Understanding Dropout as an Optimization Trick—0
Correlative and Discriminative Label Grouping for Multi-Label Visual Prompt Tuning—0
TorchQL: A Programming Framework for Integrity Constraints in Machine Learning—0
GQKVA: Efficient Pre-training of Transformers by Grouping Queries, Keys, and Values—0
MDL-NAS: A Joint Multi-Domain Learning Framework for Vision Transformer—0
Distilling High Diagnostic Value Patches for Whole Slide Image Classification Using Attention Mechanism—0
A Technical Report for VIPriors Image Classification Challenge—0
An End-to-End Breast Tumour Classification Model Using Context-Based Patch Modelling- A BiLSTM Approach for Image Classification—0
Measuring directional bias amplification in image captions using predictability—0
Measuring Model Biases in the Absence of Ground Truth—0
MONCAE: Multi-Objective Neuroevolution of Convolutional Autoencoders—0
GPT-4 Vision on Medical Image Classification -- A Case Study on COVID-19 Dataset—0
Measuring the Effect of Causal Disentanglement on the Adversarial Robustness of Neural Network Models—0
GPT4MIA: Utilizing Generative Pre-trained Transformer (GPT-3) as A Plug-and-Play Transductive Model for Medical Image Analysis—0
Measuring the Success of Diffusion Models at Imitating Human Artists—0
A Hierarchical Conditional Random Field-based Attention Mechanism Approach for Gastric Histopathology Image Classification—0
MECFormer: Multi-task Whole Slide Image Classification with Expert Consultation Network—0
GP-NAS: Gaussian Process Based Neural Architecture Search—0
Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification—0
Monge's Optimal Transport Distance for Image Classification—0
GPC: Generative and General Pathology Image Classifier—0
Correlated Input-Dependent Label Noise in Large-Scale Image Classification—0
Google street view and deep learning: a new ground truthing approach for crop mapping—0
Google is all you need: Semi-Supervised Transfer Learning Strategy For Light Multimodal Multi-Task Classification Model—0
A systematic review of transfer learning based approaches for diabetic retinopathy detection—0
Medical Knowledge-Guided Deep Learning for Imbalanced Medical Image Classification—0
Distortion Robust Image Classification using Deep Convolutional Neural Network with Discrete Cosine Transform—0
A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification—0
GoogLe2Net: Going Transverse with Convolutions—0
Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Models—0
MedKAN: An Advanced Kolmogorov-Arnold Network for Medical Image Classification—0
Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images—0
CoRPA: Adversarial Image Generation for Chest X-rays Using Concept Vector Perturbations and Generative Models—0
Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data—0
MED-TEX: Transferring and Explaining Knowledge with Less Data from Pretrained Medical Imaging Models—0
A Hardware-Friendly Algorithm for Scalable Training and Deployment of Dimensionality Reduction Models on FPGA—0
Going Deeper Into Face Detection: A Survey—0
Goal-Oriented Source Coding using LDPC Codes for Compressed-Domain Image Classification—0
SoK: A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification—0
MEGL: Multimodal Explanation-Guided Learning—0
Membership Inference Attacks Against Text-to-image Generation Models—0
Membership Inference Attacks fueled by Few-Short Learning to detect privacy leakage tackling data integrity—0
Distributed Transfer Learning with 4th Gen Intel Xeon Processors—0
Goal-Oriented Communication for Edge Learning based on the Information Bottleneck—0
Distribution Adaptive INT8 Quantization for Training CNNs—0
Memory- and Communication-Aware Model Compression for Distributed Deep Learning Inference on IoT—0
Goal-driven text descriptions for images—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