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

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Showing 3001–3050 of 10419 papers

TitleStatusHype
LarvSeg: Exploring Image Classification Data For Large Vocabulary Semantic Segmentation via Category-wise Attentive ClassifierCode0
Improving Prototypical Visual Explanations with Reward Reweighing, Reselection, and RetrainingCode0
Improving Pre-Trained Weights Through Meta-Heuristics Fine-TuningCode0
Improving robustness to corruptions with multiplicative weight perturbationsCode0
Classification Utility, Fairness, and Compactness via Tunable Information Bottleneck and Rényi MeasuresCode0
Deformable Kernels: Adapting Effective Receptive Fields for Object DeformationCode0
Improving Nonlinear Projection Heads using Pretrained Autoencoder EmbeddingsCode0
Improving Pairwise Ranking for Multi-label Image ClassificationCode0
Improving Transferability of Adversarial Examples with Input DiversityCode0
Benchmarking Robust Self-Supervised Learning Across Diverse Downstream TasksCode0
Improving Memory Efficiency for Training KANs via Meta LearningCode0
Analysis of Confident-Classifiers for Out-of-distribution DetectionCode0
Dilated Residual NetworksCode0
Representation Learning by Detecting Incorrect Location EmbeddingsCode0
Benchmarking Perturbation-based Saliency Maps for Explaining Atari AgentsCode0
Improving model calibration with accuracy versus uncertainty optimizationCode0
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck ModelsCode0
SynerMix: Synergistic Mixup Solution for Enhanced Intra-Class Cohesion and Inter-Class Separability in Image ClassificationCode0
Improving k-Means Clustering Performance with Disentangled Internal RepresentationsCode0
Defense Against Model Stealing Based on Account-Aware Distribution DiscrepancyCode0
Defense against Adversarial Attacks Using High-Level Representation Guided DenoiserCode0
Improving Generalization of Batch Whitening by Convolutional Unit OptimizationCode0
Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative LearningCode0
Improving Neural Architecture Search Image Classifiers via Ensemble LearningCode0
Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel ClassificationCode0
Improving Generalizability of Kolmogorov-Arnold Networks via Error-Correcting Output CodesCode0
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural NetworkCode0
Directional Label Diffusion Model for Learning from Noisy LabelsCode0
Benchmarking Large Language Models for Image Classification of Marine MammalsCode0
Direction Concentration Learning: Enhancing Congruency in Machine LearningCode0
Improving Fairness in Image Classification via SketchingCode0
Improving Generalization and Convergence by Enhancing Implicit RegularizationCode0
Defending Against Physically Realizable Attacks on Image ClassificationCode0
An Efficient Framework for Enhancing Discriminative Models via Diffusion TechniquesCode0
Improving Deep Neural Network Random Initialization Through Neuronal RewiringCode0
Improving Ensemble Distillation With Weight Averaging and Diversifying PerturbationCode0
Dirty Pixels: Towards End-to-End Image Processing and PerceptionCode0
BlockQNN: Efficient Block-wise Neural Network Architecture GenerationCode0
KCNet: An Insect-Inspired Single-Hidden-Layer Neural Network with Randomized Binary Weights for Prediction and Classification TasksCode0
Learning Implicitly Recurrent CNNs Through Parameter SharingCode0
Benchmarking Deep Learning Models on NVIDIA Jetson Nano for Real-Time Systems: An Empirical InvestigationCode0
Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language ModelsCode0
Deep Visual City Recognition VisualizationCode0
Adaptive Sample Selection for Robust Learning under Label NoiseCode0
Deep Variation-structured Reinforcement Learning for Visual Relationship and Attribute DetectionCode0
AOGNets: Compositional Grammatical Architectures for Deep LearningCode0
Analysing Training-Data Leakage from Gradients through Linear Systems and Gradient MatchingCode0
BR-NPA: A Non-Parametric High-Resolution Attention Model to improve the Interpretability of AttentionCode0
Discrete Representations Strengthen Vision Transformer RobustnessCode0
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI gamesCode0
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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