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 7551–7600 of 10420 papers

TitleStatusHype
Verification of Deep Convolutional Neural Networks Using ImageStarsCode1
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution EnvironmentsCode1
Understanding the decisions of CNNs: An in-model approachCode1
Detached Error Feedback for Distributed SGD with Random Sparsification—0
Multimodal Categorization of Crisis Events in Social MediaCode1
Improved Residual Networks for Image and Video RecognitionCode1
Exploring Optimal Deep Learning Models for Image-based Malware Variant Classification—0
ASL Recognition with Metric-Learning based Lightweight Network—0
X3D: Expanding Architectures for Efficient Video RecognitionCode2
Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training—0
TensorProjection Layer: A Tensor-Based Dimension Reduction Method in Deep Neural NetworksCode0
Towards Reusable Network Components by Learning Compatible Representations—0
Empirical Perspectives on One-Shot Semi-supervised Learning—0
Two-Stage Resampling for Convolutional Neural Network Training in the Imbalanced Colorectal Cancer Image Classification—0
Inspector Gadget: A Data Programming-based Labeling System for Industrial Images—0
Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing—0
Radon cumulative distribution transform subspace modeling for image classificationCode0
Teacher-Class Network: A Neural Network Compression MechanismCode0
Generative Adversarial Zero-shot Learning via Knowledge Graphs—0
Evolving Normalization-Activation LayersCode1
Network Adjustment: Channel Search Guided by FLOPs Utilization RatioCode1
Large-scale spatiotemporal photonic reservoir computer for image classification—0
Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition—0
Comparative Analysis of Multiple Deep CNN Models for Waste Classification—0
Approximate Manifold Defense Against Multiple Adversarial PerturbationsCode0
Neural Architecture Search for Lightweight Non-Local NetworksCode1
Group Based Deep Shared Feature Learning for Fine-grained Image Classification—0
ObjectNet Dataset: Reanalysis and CorrectionCode1
Generative Adversarial Networks Based on Collaborative Learning and Attention Mechanism for Hyperspectral Image Classification—0
Gradient Centralization: A New Optimization Technique for Deep Neural NetworksCode1
Hierarchical Image Classification using Entailment Cone EmbeddingsCode1
Predicting the outputs of finite deep neural networks trained with noisy gradients—0
Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T)Code0
Learning Representations For Images With Hierarchical LabelsCode1
In Automation We Trust: Investigating the Role of Uncertainty in Active Learning Systems—0
Controllable Orthogonalization in Training DNNsCode1
Adversarial Learning for Personalized Tag RecommendationCode0
Editable Neural NetworksCode1
Improving Deep Hyperspectral Image Classification Performance with Spectral Unmixing—0
Binary Neural Networks: A SurveyCode2
UniformAugment: A Search-free Probabilistic Data Augmentation ApproachCode1
Regularizing Class-wise Predictions via Self-knowledge DistillationCode1
MUXConv: Information Multiplexing in Convolutional Neural NetworksCode1
Generative Latent Implicit Conditional Optimization when Learning from Small SampleCode1
Incremental Learning In Online Scenario—0
An Open-source Tool for Hyperspectral Image Augmentation in TensorflowCode1
Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNetsCode1
DHP: Differentiable Meta Pruning via HyperNetworksCode1
Designing Network Design SpacesCode1
Improved Gradient based Adversarial Attacks for Quantized NetworksCode0
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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