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 8101–8150 of 10420 papers

TitleStatusHype
3D CNN with Localized Residual Connections for Hyperspectral Image ClassificationCode0
Sampling-Free Learning of Bayesian Quantized Neural Networks—0
Collective Learning—0
Self-Supervised Learning of Video-Induced Visual Invariances—0
Scratch that! An Evolution-based Adversarial Attack against Neural NetworksCode0
Towards Robust Image Classification Using Sequential Attention Models—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
An Automated Deep Learning Approach for Bacterial Image Classification—0
On the Validity of Bayesian Neural Networks for Uncertainty Estimation—0
Less Is Better: Unweighted Data Subsampling via Influence FunctionCode0
Google street view and deep learning: a new ground truthing approach for crop mapping—0
Learning scale-variant features for robust iris authentication with deep learning based ensemble framework—0
AP-Perf: Incorporating Generic Performance Metrics in Differentiable LearningCode0
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
STAR-Caps: Capsule Networks with Straight-Through Attentive Routing—0
Data Parameters: A New Family of Parameters for Learning a Differentiable CurriculumCode0
DATA: Differentiable ArchiTecture ApproximationCode0
Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks—0
Discriminative Joint Probability Maximum Mean Discrepancy (DJP-MMD) for Domain AdaptationCode0
Gaussian-Based Pooling for Convolutional Neural NetworksCode0
Constrained deep neural network architecture search for IoT devices accounting for hardware calibration—0
SGAS: Sequential Greedy Architecture SearchCode0
What's Hidden in a Randomly Weighted Neural Network?Code0
Deep Object Co-segmentation via Spatial-Semantic Network ModulationCode0
Towards Oracle Knowledge Distillation with Neural Architecture Search—0
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
Artificial Intelligence-Based Image Classification for Diagnosis of Skin Cancer: Challenges and Opportunities—0
Deep Learning with Gaussian Differential PrivacyCode0
Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information EstimatorCode0
One Man's Trash is Another Man's Treasure: Resisting Adversarial Examples by Adversarial ExamplesCode0
PlantDoc: A Dataset for Visual Plant Disease DetectionCode0
Constrained Linear Data-feature Mapping for Image ClassificationCode0
Federated Learning with Bayesian Differential Privacy—0
Optimizing Data Usage via Differentiable RewardsCode0
Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion ReductionCode0
Attack Agnostic Statistical Method for Adversarial Detection—0
Rethinking Normalization and Elimination Singularity in Neural NetworksCode0
Regularizing Neural Networks by Stochastically Training Layer EnsemblesCode0
Quantization NetworksCode0
Adversarial Examples Improve Image RecognitionCode0
Classification-driven Single Image Dehazing—0
EnAET: A Self-Trained framework for Semi-Supervised and Supervised Learning with Ensemble TransformationsCode0
MSD: Multi-Self-Distillation Learning via Multi-classifiers within Deep Neural Networks—0
AutoShrink: A Topology-aware NAS for Discovering Efficient Neural ArchitectureCode0
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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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified