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 9751–9775 of 10420 papers

TitleStatusHype
Non-parametric regularization for class imbalance federated medical image classificationCode0
Adversarial Examples Improve Image RecognitionCode0
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball ComputingCode0
Non-Uniform Illumination Attack for Fooling Convolutional Neural NetworksCode0
Learning Metrics from Teachers: Compact Networks for Image EmbeddingCode0
Beta-Rank: A Robust Convolutional Filter Pruning Method For Imbalanced Medical Image AnalysisCode0
Benchmarking Robust Self-Supervised Learning Across Diverse Downstream TasksCode0
Benchmarking Perturbation-based Saliency Maps for Explaining Atari AgentsCode0
Deep CNN-based Multi-task Learning for Open-Set RecognitionCode0
Normalized Radon Cumulative Distribution Transforms for Invariance and Robustness in Optimal Transport Based Image ClassificationCode0
Prior-Free Continual Learning with Unlabeled Data in the WildCode0
Benchmarking Large Language Models for Image Classification of Marine MammalsCode0
Prior Gradient Mask Guided Pruning-Aware Fine-TuningCode0
Benchmarking Deep Learning Models on NVIDIA Jetson Nano for Real-Time Systems: An Empirical InvestigationCode0
Adversarial Defense of Image Classification Using a Variational Auto-EncoderCode0
Deep Categorization with Semi-Supervised Self-Organizing MapsCode0
A New Loss Function for CNN Classifier Based on Pre-defined Evenly-Distributed Class CentroidsCode0
Learning Optimal Data Augmentation Policies via Bayesian Optimization for Image Classification TasksCode0
Learning ordered pooling weights in image classificationCode0
Deep Bayesian segmentation for colon polyps: Well-calibrated predictions in medical imagingCode0
Deep Asymmetric Multi-task Feature LearningCode0
Learning Permutation Invariant Representations using Memory NetworksCode0
Benchmark Generation Framework with Customizable Distortions for Image Classifier RobustnessCode0
Deep Adaptive Wavelet NetworkCode0
Not All Samples Are Created Equal: Deep Learning with Importance SamplingCode0
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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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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