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 5251–5275 of 10420 papers

TitleStatusHype
Compressive Image Classification using Deterministic Sensing Matrices—0
Providing Error Detection for Deep Learning Image Classifiers Using Self-Explainability—0
Attention Regularized Laplace Graph for Domain Adaptation—0
POGD: Gradient Descent with New Stochastic Rules—0
CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models—0
Sequential Learning Of Neural Networks for Prequential MDL—0
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized RecommendationCode0
MergedNET: A simple approach for one-shot learning in siamese networks based on similarity layersCode0
Confidence estimation of classification based on the distribution of the neural network output layer—0
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models—0
Improving the Reliability for Confidence Estimation—0
Image Projective Transformation Rectification with Synthetic Data for Smartphone-captured Chest X-ray Photos ClassificationCode0
Are Sample-Efficient NLP Models More Robust?—0
Semantic Cross Attention for Few-shot LearningCode0
On Divergence Measures for Bayesian PseudocoresetsCode0
Deep Combinatorial AggregationCode0
A Unified Framework with Meta-dropout for Few-shot Learning—0
Edge-Cloud Cooperation for DNN Inference via Reinforcement Learning and Supervised Learning—0
Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative LearningCode0
Deep Active Ensemble Sampling For Image Classification—0
Designing Robust Transformers using Robust Kernel Density Estimation—0
Schedule-Robust Online Continual Learning—0
Energy-Efficient Deployment of Machine Learning Workloads on Neuromorphic Hardware—0
Continual Learning with Evolving Class Ontologies—0
Multi-Modal Fusion by Meta-InitializationCode0
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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