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 3401–3450 of 10419 papers

TitleStatusHype
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck ModelsCode0
OLÉ: Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep LearningCode0
Adaptive hybrid activation function for deep neural networksCode0
Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image ClassificationCode0
On Batch Adaptive Training for Deep Learning: Lower Loss and Larger Step SizeCode0
Efficient approximation of Earth Mover's Distance Based on Nearest Neighbor SearchCode0
Improving k-Means Clustering Performance with Disentangled Internal RepresentationsCode0
Improving Generalization and Convergence by Enhancing Implicit RegularizationCode0
AMNet: Memorability Estimation with AttentionCode0
Deep Learning for Classical Japanese LiteratureCode0
Efficient CNN Architecture Design Guided by VisualizationCode0
CECT: Controllable Ensemble CNN and Transformer for COVID-19 Image ClassificationCode0
Accurate Explanation Model for Image Classifiers using Class Association EmbeddingCode0
One-bit Supervision for Image ClassificationCode0
Improving Generalization of Batch Whitening by Convolutional Unit OptimizationCode0
Bad Global Minima Exist and SGD Can Reach ThemCode0
Deep Learning Development Environment in Virtual RealityCode0
Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object DetectionCode0
BadDet: Backdoor Attacks on Object DetectionCode0
Efficient Deep Spiking Multi-Layer Perceptrons with Multiplication-Free InferenceCode0
Improving Fairness in Image Classification via SketchingCode0
Improving Generalizability of Kolmogorov-Arnold Networks via Error-Correcting Output CodesCode0
SynerMix: Synergistic Mixup Solution for Enhanced Intra-Class Cohesion and Inter-Class Separability in Image ClassificationCode0
Efficient Dynamic Attention 3D Convolution for Hyperspectral Image ClassificationCode0
Improving Pairwise Ranking for Multi-label Image ClassificationCode0
An Optimized Toolbox for Advanced Image Processing with Tsetlin Machine CompositesCode0
Improvising the Learning of Neural Networks on Hyperspherical ManifoldCode0
Improving Confident-Classifiers For Out-of-distribution DetectionCode0
Backpropagation Neural TreeCode0
On Function-Coupled Watermarks for Deep Neural NetworksCode0
Improving Calibration by Relating Focal Loss, Temperature Scaling, and PropernessCode0
Improving (α, f)-Byzantine Resilience in Federated Learning via layerwise aggregation and cosine distanceCode0
Improving Classification Neural Networks by using Absolute activation function (MNIST/LeNET-5 example)Code0
Efficient Hyperdimensional ComputingCode0
Background Splitting: Finding Rare Classes in a Sea of BackgroundCode0
Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language ModelsCode0
Adaptive feature recombination and recalibration for semantic segmentation with Fully Convolutional NetworksCode0
Certification for Differentially Private Prediction in Gradient-Based TrainingCode0
Improving Deep Neural Network Random Initialization Through Neuronal RewiringCode0
Deep Learning Based Automated COVID-19 Classification from Computed Tomography ImagesCode0
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function OptimizationCode0
Robust Classification using Contractive Hamiltonian Neural ODEsCode0
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI gamesCode0
On the adequacy of untuned warmup for adaptive optimizationCode0
Deep Learning applied to NLPCode0
On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting MethodCode0
Accurate Dictionary Learning with Direct Sparsity ControlCode0
Deep Learning: An Introduction for Applied MathematiciansCode0
BR-NPA: A Non-Parametric High-Resolution Attention Model to improve the Interpretability of AttentionCode0
Improved efficient capsule network for Kuzushiji-MNIST benchmark dataset 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