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 3501–3550 of 10419 papers

TitleStatusHype
CHIP: Channel-wise Disentangled Interpretation of Deep Convolutional Neural NetworksCode0
Local Relation Networks for Image RecognitionCode0
Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language ModelsCode0
DeepFool: a simple and accurate method to fool deep neural networksCode0
Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural NetworksCode0
Constructing Energy-efficient Mixed-precision Neural Networks through Principal Component Analysis for Edge IntelligenceCode0
BR-NPA: A Non-Parametric High-Resolution Attention Model to improve the Interpretability of AttentionCode0
A Vision-Language Foundation Model for Leaf Disease IdentificationCode0
Volley Revolver: A Novel Matrix-Encoding Method for Privacy-Preserving Neural Networks (Inference)Code0
A Mathematical Framework, a Taxonomy of Modeling Paradigms, and a Suite of Learning Techniques for Neural-Symbolic SystemsCode0
Improving (α, f)-Byzantine Resilience in Federated Learning via layerwise aggregation and cosine distanceCode0
Improving Ensemble Distillation With Weight Averaging and Diversifying PerturbationCode0
Perception-Oriented Latent Coding for High-Performance Compressed Domain Semantic InferenceCode0
Deep Feature Response Discriminative CalibrationCode0
Emergent symbolic language based deep medical image classificationCode0
Multi-scale Processing of Noisy Images using Edge Preservation LossesCode0
CIFAR-10 Image Classification Using Feature EnsemblesCode0
EMNIST: an extension of MNIST to handwritten lettersCode0
Averaged Adam accelerates stochastic optimization in the training of deep neural network approximations for partial differential equation and optimal control problemsCode0
Improved Gradient based Adversarial Attacks for Quantized NetworksCode0
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI gamesCode0
A variable metric proximal stochastic gradient method: an application to classification problemsCode0
Deep Ensembling of Multiband Images for Earth Remote Sensing and Foramnifera DataCode0
Auxiliary Task Update Decomposition: The Good, The Bad and The NeutralCode0
Improved Activation Clipping for Universal Backdoor Mitigation and Test-Time DetectionCode0
Improved efficient capsule network for Kuzushiji-MNIST benchmark dataset classificationCode0
Employing Sentence Space Embedding for Classification of Data Stream from Fake News DomainCode0
CLAD: A Contrastive Learning based Approach for Background DebiasingCode0
Soft ascent-descent as a stable and flexible alternative to floodingCode0
Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuseCode0
Implicit Generative Prior for Bayesian Neural NetworksCode0
Importance of Disjoint Sampling in Conventional and Transformer Models for Hyperspectral Image ClassificationCode0
Class2Str: End to End Latent Hierarchy LearningCode0
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function OptimizationCode0
Improving Fairness in Image Classification via SketchingCode0
iMixer: hierarchical Hopfield network implies an invertible, implicit and iterative MLP-MixerCode0
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGACode0
Comparing supervised learning dynamics: Deep neural networks match human data efficiency but show a generalisation lagCode0
Immiscible Color Flows in Optimal Transport Networks for Image ClassificationCode0
Adaptive Cross-Modal Few-Shot LearningCode0
ImageNot: A contrast with ImageNet preserves model rankingsCode0
EncodingNet: A Novel Encoding-based MAC Design for Efficient Neural Network AccelerationCode0
ImageNet Classification with Deep Convolutional Neural NetworksCode0
Image Quality Assessment Guided Deep Neural Networks TrainingCode0
Accuracy of TextFooler black box adversarial attacks on 01 loss sign activation neural network ensembleCode0
DeepCorrect: Correcting DNN models against Image DistortionsCode0
Deep Generalized Convolutional Sum-Product NetworksCode0
Deep Convolutional Neural Networks for Breast Cancer Histology Image AnalysisCode0
ALReLU: A different approach on Leaky ReLU activation function to improve Neural Networks PerformanceCode0
Impact of Fully Connected Layers on Performance of Convolutional Neural Networks for Image ClassificationCode0
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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