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 1–25 of 10419 papers

TitleStatusHype
Automatic Classification and Segmentation of Tunnel Cracks Based on Deep Learning and Visual Explanations—0
MUPAX: Multidimensional Problem Agnostic eXplainable AI—0
Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy—0
Federated Learning for Commercial Image Sources—0
Adversarial attacks to image classification systems using evolutionary algorithms—0
Hashed Watermark as a Filter: Defeating Forging and Overwriting Attacks in Weight-based Neural Network WatermarkingCode0
Transferring Styles for Reduced Texture Bias and Improved Robustness in Semantic Segmentation Networks—0
FedGSCA: Medical Federated Learning with Global Sample Selector and Client Adaptive Adjuster under Label Noise—0
ViT-ProtoNet for Few-Shot Image Classification: A Multi-Benchmark EvaluationCode0
Admissibility of Stein Shrinkage for Batch Normalization in the Presence of Adversarial Attacks—0
GNN-ViTCap: GNN-Enhanced Multiple Instance Learning with Vision Transformers for Whole Slide Image Classification and Captioning—0
SoftReMish: A Novel Activation Function for Enhanced Convolutional Neural Networks for Visual Recognition Performance—0
Model-free Optical Processors using In Situ Reinforcement Learning with Proximal Policy Optimization—0
Transferring Visual Explainability of Self-Explaining Models through Task Arithmetic—0
MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone ArchitectureCode0
Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual DescriptorCode0
Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and PhysicsCode1
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
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
Hierarchical Mask-Enhanced Dual Reconstruction Network for Few-Shot Fine-Grained Image ClassificationCode0
Learning Moderately Input-Sensitive Functions: A Case Study in QR Code Decoding—0
Counterfactual Influence as a Distributional Quantity—0
Disentangled representations of microscopy imagesCode0
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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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified