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 2276–2300 of 10420 papers

TitleStatusHype
Perception-Oriented Latent Coding for High-Performance Compressed Domain Semantic InferenceCode0
Revisiting CroPA: A Reproducibility Study and Enhancements for Cross-Prompt Adversarial Transferability in Vision-Language ModelsCode0
Learning Moderately Input-Sensitive Functions: A Case Study in QR Code Decoding—0
Hierarchical Mask-Enhanced Dual Reconstruction Network for Few-Shot Fine-Grained Image ClassificationCode0
FR-CapsNet: Enhancing Low-Resolution Image Classification via Frequency Routed CapsulesCode0
Practical insights on the effect of different encodings, ansätze and measurements in quantum and hybrid convolutional neural networksCode0
Disentangled representations of microscopy imagesCode0
Counterfactual Influence as a Distributional Quantity—0
Iterative Quantum Feature Maps—0
One Prototype Is Enough: Single-Prototype Activation for Interpretable Image ClassificationCode0
SIM-Net: A Multimodal Fusion Network Using Inferred 3D Object Shape Point Clouds from RGB Images for 2D Classification—0
Unfolding the Past: A Comprehensive Deep Learning Approach to Analyzing Incunabula Pages—0
DRO-Augment Framework: Robustness by Synergizing Wasserstein Distributionally Robust Optimization and Data Augmentation—0
Robust Training with Data Augmentation for Medical Imaging Classification—0
Efficient Transformations in Deep Learning Convolutional Neural Networks—0
J3DAI: A tiny DNN-Based Edge AI Accelerator for 3D-Stacked CMOS Image Sensor—0
Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference—0
FedWSIDD: Federated Whole Slide Image Classification via Dataset Distillation—0
Compositional Attribute Imbalance in Vision Datasets—0
Train Once, Forget Precisely: Anchored Optimization for Efficient Post-Hoc Unlearning—0
One-Shot Neural Architecture Search with Network Similarity Directed Initialization for Pathological Image Classification—0
DDS-NAS: Dynamic Data Selection within Neural Architecture Search via On-line Hard Example Mining applied to Image Classification—0
Finding Optimal Kernel Size and Dimension in Convolutional Neural Networks An Architecture Optimization Approach—0
Evaluating Cell Type Inference in Vision Language Models Under Varying Visual ContextCode0
Cross-architecture universal feature coding via distribution alignment—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