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 3551–3600 of 10419 papers

TitleStatusHype
Improved Gradient based Adversarial Attacks for Quantized NetworksCode0
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGACode0
Improved efficient capsule network for Kuzushiji-MNIST benchmark dataset classificationCode0
Importance of Disjoint Sampling in Conventional and Transformer Models for Hyperspectral Image ClassificationCode0
Adaptive Cross-Modal Few-Shot LearningCode0
Improved Activation Clipping for Universal Backdoor Mitigation and Test-Time DetectionCode0
Soft ascent-descent as a stable and flexible alternative to floodingCode0
Predicting Yelp Star Reviews Based on Network Structure with Deep LearningCode0
Impact of Fully Connected Layers on Performance of Convolutional Neural Networks for Image ClassificationCode0
Accuracy of TextFooler black box adversarial attacks on 01 loss sign activation neural network ensembleCode0
Impact of ImageNet Model Selection on Domain AdaptationCode0
DeepCorrect: Correcting DNN models against Image DistortionsCode0
Implicit Generative Prior for Bayesian Neural NetworksCode0
Deep Generalized Convolutional Sum-Product NetworksCode0
Classification Beats Regression: Counting of Cells from Greyscale Microscopic Images based on Annotation-free Training SamplesCode0
Preventing Manifold Intrusion with Locality: Local MixupCode0
Deep Convolutional Neural Networks for Breast Cancer Histology Image AnalysisCode0
ALReLU: A different approach on Leaky ReLU activation function to improve Neural Networks PerformanceCode0
Privacy Enhancement for Cloud-Based Few-Shot LearningCode0
Enhanced Long-Tailed Recognition with Contrastive CutMix AugmentationCode0
Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuseCode0
PriViT: Vision Transformers for Fast Private InferenceCode0
Deep convolutional neural networks for pedestrian detectionCode0
Probabilistic Deep Metric Learning for Hyperspectral Image ClassificationCode0
AutoShrink: A Topology-aware NAS for Discovering Efficient Neural ArchitectureCode0
iMixer: hierarchical Hopfield network implies an invertible, implicit and iterative MLP-MixerCode0
Classification Metrics for Image Explanations: Towards Building Reliable XAI-EvaluationsCode0
Enhancing Adaptive Deep Networks for Image Classification via Uncertainty-aware Decision FusionCode0
AntidoteRT: Run-time Detection and Correction of Poison Attacks on Neural NetworksCode0
Deep convolutional Gaussian processesCode0
Auto-Precision Scaling for Distributed Deep LearningCode0
ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image ClassificationCode0
ImageNot: A contrast with ImageNet preserves model rankingsCode0
Deep Continuous NetworksCode0
Adaptive Convolution Kernel for Artificial Neural NetworksCode0
Image Quality Assessment Guided Deep Neural Networks TrainingCode0
Comparing supervised learning dynamics: Deep neural networks match human data efficiency but show a generalisation lagCode0
DeepConsensus: using the consensus of features from multiple layers to attain robust image classificationCode0
Deep Competitive Pathway NetworksCode0
Deep Combinatorial AggregationCode0
ImageNet Classification with Deep Convolutional Neural NetworksCode0
Evaluating Defensive Distillation For Defending Text Processing Neural Networks Against Adversarial ExamplesCode0
Immiscible Color Flows in Optimal Transport Networks for Image ClassificationCode0
Provably Near-Optimal Federated Ensemble Distillation with Negligible OverheadCode0
Intra-class Patch Swap for Self-DistillationCode0
Learning Compressed Transforms with Low Displacement RankCode0
Meta-Learning without MemorizationCode0
Deep CNN-based Multi-task Learning for Open-Set RecognitionCode0
Image classification in frequency domain with 2SReLU: a second harmonics superposition activation functionCode0
Image-Caption Encoding for Improving Zero-Shot GeneralizationCode0
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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