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 3651–3700 of 10419 papers

TitleStatusHype
Impact of Fully Connected Layers on Performance of Convolutional Neural Networks for Image ClassificationCode0
Regularization-based Pruning of Irrelevant Weights in Deep Neural ArchitecturesCode0
Impact of ImageNet Model Selection on Domain AdaptationCode0
Err on the Side of Texture: Texture Bias on Real DataCode0
Deep Active Learning with Augmentation-based Consistency EstimationCode0
Implicit Generative Prior for Bayesian Neural NetworksCode0
iMixer: hierarchical Hopfield network implies an invertible, implicit and iterative MLP-MixerCode0
Adaptive Cascading Network for Continual Test-Time AdaptationCode0
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural NetworkCode0
Comparing supervised learning dynamics: Deep neural networks match human data efficiency but show a generalisation lagCode0
All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image ClassificationCode0
DED: Diagnostic Evidence Distillation for acne severity grading on face imagesCode0
Immiscible Color Flows in Optimal Transport Networks for Image ClassificationCode0
Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuseCode0
Estimating the Conformal Prediction Threshold from Noisy LabelsCode0
Frequency maps reveal the correlation between Adversarial Attacks and Implicit BiasCode0
ImageNot: A contrast with ImageNet preserves model rankingsCode0
Relation Network for Multi-label Aerial Image ClassificationCode0
ETran: Energy-Based Transferability EstimationCode0
EurNet: Efficient Multi-Range Relational Modeling of Spatial Multi-Relational DataCode0
Image Quality Assessment Guided Deep Neural Networks TrainingCode0
Automatic Data Augmentation via Invariance-Constrained LearningCode0
Automatic Configuration of Deep Neural Networks with EGOCode0
ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image ClassificationCode0
Decoupled Greedy Learning of CNNsCode0
ImageNet Classification with Deep Convolutional Neural NetworksCode0
Soft ascent-descent as a stable and flexible alternative to floodingCode0
Decompose-and-Compose: A Compositional Approach to Mitigating Spurious CorrelationCode0
Decoding visual brain representations from electroencephalography through Knowledge Distillation and latent diffusion modelsCode0
Image Classification with Hierarchical Multigraph NetworksCode0
Image Classification with Classic and Deep Learning TechniquesCode0
Automated wildlife image classification: An active learning tool for ecological applicationsCode0
Decision-making and control with diffractive optical networksCode0
Adaptive aggregation of Monte Carlo augmented decomposed filters for efficient group-equivariant convolutional neural networkCode0
Evaluating Generalization Ability of Convolutional Neural Networks and Capsule Networks for Image Classification via Top-2 ClassificationCode0
Image Classification with CondenseNeXt for ARM-Based Computing PlatformsCode0
Decision Forests, Convolutional Networks and the Models in-BetweenCode0
DecisioNet: A Binary-Tree Structured Neural NetworkCode0
Evaluating ResNeXt Model Architecture for Image ClassificationCode0
Evaluating Supervision Levels Trade-Offs for Infrared-Based People CountingCode0
Automated Seed Quality Testing System using GAN & Active LearningCode0
Automated Search for Configurations of Deep Neural Network ArchitecturesCode0
DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and ExplanationCode0
Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays OffCode0
Allowing humans to interactively guide machines where to look does not always improve human-AI team's classification accuracyCode0
Policy-Based Federated LearningCode0
Image classification in frequency domain with 2SReLU: a second harmonics superposition activation functionCode0
Image-Caption Encoding for Improving Zero-Shot GeneralizationCode0
Image classification and retrieval with random depthwise signed convolutional neural networksCode0
Image Classification of Melanoma, Nevus and Seborrheic Keratosis by Deep Neural Network EnsembleCode0
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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