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 7901–7950 of 10420 papers

TitleStatusHype
An Empirical Study on the Relation between Network Interpretability and Adversarial RobustnessCode0
Improved Few-Shot Visual Classification—0
ClusterFit: Improving Generalization of Visual RepresentationsCode0
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster InferenceCode0
Sampling-Free Learning of Bayesian Quantized Neural Networks—0
3D CNN with Localized Residual Connections for Hyperspectral Image ClassificationCode0
Collective Learning—0
Self-Supervised Learning of Video-Induced Visual Invariances—0
Scratch that! An Evolution-based Adversarial Attack against Neural NetworksCode0
AugMix: A Simple Data Processing Method to Improve Robustness and UncertaintyCode1
An Automated Deep Learning Approach for Bacterial Image Classification—0
Efficient feature embedding of 3D brain MRI images for content-based image retrieval with deep metric learning—0
Domain-independent Dominance of Adaptive MethodsCode0
Towards Robust Image Classification Using Sequential Attention Models—0
Google street view and deep learning: a new ground truthing approach for crop mapping—0
On the Validity of Bayesian Neural Networks for Uncertainty Estimation—0
Multi-Objective Evolutionary Design of Deep Convolutional Neural Networks for Image ClassificationCode1
Less Is Better: Unweighted Data Subsampling via Influence FunctionCode0
High-parallelism Inception-like Spiking Neural Networks for Unsupervised Feature LearningCode1
Learning scale-variant features for robust iris authentication with deep learning based ensemble framework—0
AP-Perf: Incorporating Generic Performance Metrics in Differentiable LearningCode0
Discriminative Joint Probability Maximum Mean Discrepancy (DJP-MMD) for Domain AdaptationCode0
ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models—0
Efficient Neural Architecture Transformation Search in Channel-Level for Object Detection—0
L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise—0
Data Parameters: A New Family of Parameters for Learning a Differentiable CurriculumCode0
Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks—0
Gaussian-Based Pooling for Convolutional Neural NetworksCode0
Constrained deep neural network architecture search for IoT devices accounting for hardware calibration—0
STAR-Caps: Capsule Networks with Straight-Through Attentive Routing—0
Addressing Failure Detection by Learning Model ConfidenceCode1
DATA: Differentiable ArchiTecture ApproximationCode0
SGAS: Sequential Greedy Architecture SearchCode0
What's Hidden in a Randomly Weighted Neural Network?Code0
Towards Oracle Knowledge Distillation with Neural Architecture Search—0
Deep Object Co-segmentation via Spatial-Semantic Network ModulationCode0
Transform-Invariant Convolutional Neural Networks for Image Classification and SearchCode1
The Weighted Tsetlin Machine: Compressed Representations with Weighted ClausesCode0
A Generalization Theory based on Independent and Task-Identically Distributed Assumption—0
Orthogonal Convolutional Neural NetworksCode0
Decision Propagation Networks for Image Classification—0
CSPNet: A New Backbone that can Enhance Learning Capability of CNNCode1
GhostNet: More Features from Cheap OperationsCode1
Artificial Intelligence-Based Image Classification for Diagnosis of Skin Cancer: Challenges and Opportunities—0
Deep Learning with Gaussian Differential PrivacyCode0
One Man's Trash is Another Man's Treasure: Resisting Adversarial Examples by Adversarial ExamplesCode0
Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information EstimatorCode0
Rigging the Lottery: Making All Tickets WinnersCode1
PlantDoc: A Dataset for Visual Plant Disease DetectionCode0
Universal Adversarial Robustness of Texture and Shape-Biased ModelsCode1
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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