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 3751–3800 of 10420 papers

TitleStatusHype
Impact of Fully Connected Layers on Performance of Convolutional Neural Networks for Image ClassificationCode0
Expanding-and-Shrinking Binary Neural NetworksCode0
Implicit Generative Prior for Bayesian Neural NetworksCode0
Robust Training in High Dimensions via Block Coordinate Geometric Median DescentCode0
Improved Activation Clipping for Universal Backdoor Mitigation and Test-Time DetectionCode0
Expeditious Saliency-guided Mix-up through Random Gradient ThresholdingCode0
Comparing supervised learning dynamics: Deep neural networks match human data efficiency but show a generalisation lagCode0
iMixer: hierarchical Hopfield network implies an invertible, implicit and iterative MLP-MixerCode0
Immiscible Color Flows in Optimal Transport Networks for Image ClassificationCode0
DDI-CoCo: A Dataset For Understanding The Effect Of Color Contrast In Machine-Assisted Skin Disease DetectionCode0
DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic SurgeryCode0
Evolving Deep Neural Networks by Multi-objective Particle Swarm Optimization for Image ClassificationCode0
Image Quality Assessment Guided Deep Neural Networks TrainingCode0
Explainability of Deep Neural Networks for Brain Tumor DetectionCode0
All Grains, One Scheme (AGOS): Learning Multi-grain Instance Representation for Aerial Scene ClassificationCode0
Improving singing voice separation with the Wave-U-Net using Minimum Hyperspherical EnergyCode0
AutoGAN: Neural Architecture Search for Generative Adversarial NetworksCode0
DCFNet: Deep Neural Network with Decomposed Convolutional FiltersCode0
Image Classification with Hierarchical Multigraph NetworksCode0
Safeguarded Dynamic Label Regression for Generalized Noisy SupervisionCode0
Saccader: Improving Accuracy of Hard Attention Models for VisionCode0
ImageNet Classification with Deep Convolutional Neural NetworksCode0
Image Classification with Classic and Deep Learning TechniquesCode0
Explainable Ensemble Machine Learning for Breast Cancer Diagnosis based on Ultrasound Image Texture FeaturesCode0
DBIA: Data-free Backdoor Injection Attack against Transformer NetworksCode0
AutoFCL: Automatically Tuning Fully Connected Layers for Handling Small DatasetCode0
Image Classification with CondenseNeXt for ARM-Based Computing PlatformsCode0
Image Classification of Melanoma, Nevus and Seborrheic Keratosis by Deep Neural Network EnsembleCode0
Adaptive Activation Functions for Predictive Modeling with Sparse Experimental DataCode0
Image classification in frequency domain with 2SReLU: a second harmonics superposition activation functionCode0
Image Classification Using Singular Value Decomposition and OptimizationCode0
ComFe: Interpretable Image Classifiers With Foundation Models, Transformers and Component FeaturesCode0
Dataset Distillation with Infinitely Wide Convolutional NetworksCode0
CNN Features off-the-shelf: an Astounding Baseline for RecognitionCode0
Dataset Distillation using Neural Feature RegressionCode0
Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance PropagationCode0
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image SegmentationCode0
Explaining Domain Shifts in Language: Concept erasing for Interpretable Image ClassificationCode0
Dataset Condensation with Differentiable Siamese AugmentationCode0
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language TasksCode0
Image-Caption Encoding for Improving Zero-Shot GeneralizationCode0
Dataset Condensation Driven Machine UnlearningCode0
Explaining NonLinear Classification Decisions with Deep Taylor DecompositionCode0
ScaleNet: Scale Invariance Learning in Directed GraphsCode0
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural NetworksCode0
Distilling Effective Supervision from Severe Label NoiseCode0
ILGNet: Inception Modules with Connected Local and Global Features for Efficient Image Aesthetic Quality Classification using Domain AdaptationCode0
Image classification and retrieval with random depthwise signed convolutional neural networksCode0
Data Representations' Study of Latent Image ManifoldsCode0
AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language ModelsCode0
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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