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 3151–3200 of 10419 papers

TitleStatusHype
Deep Residual Network based Automatic Image Grading for Diabetic Macular EdemaCode0
An Evasion Attack against Stacked Capsule AutoencoderCode0
Deep Residual Learning in the JPEG Transform DomainCode0
Bayesian Nonparametric Federated Learning of Neural NetworksCode0
Improving Neural Architecture Search Image Classifiers via Ensemble LearningCode0
Improving Nonlinear Projection Heads using Pretrained Autoencoder EmbeddingsCode0
Improving Pairwise Ranking for Multi-label Image ClassificationCode0
Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative LearningCode0
Bayesian Neural Networks With Maximum Mean Discrepancy RegularizationCode0
An Adaptive Method Stabilizing Activations for Enhanced GeneralizationCode0
Improving k-Means Clustering Performance with Disentangled Internal RepresentationsCode0
SynerMix: Synergistic Mixup Solution for Enhanced Intra-Class Cohesion and Inter-Class Separability in Image ClassificationCode0
Improving Generalization and Convergence by Enhancing Implicit RegularizationCode0
Improving Generalization of Batch Whitening by Convolutional Unit OptimizationCode0
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck ModelsCode0
Improving Memory Efficiency for Training KANs via Meta LearningCode0
Improving Ensemble Distillation With Weight Averaging and Diversifying PerturbationCode0
Deep regularization and direct training of the inner layers of Neural Networks with Kernel FlowsCode0
Improving Fairness in Image Classification via SketchingCode0
Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie StimuliCode0
An accurate detection is not all you need to combat label noise in web-noisy datasetsCode0
How to use model architecture and training environment to estimate the energy consumption of DL trainingCode0
Deep Pyramidal Residual NetworksCode0
Bridging Sensor Gaps via Attention Gated Tuning for Hyperspectral Image ClassificationCode0
Deep Online Probability Aggregation ClusteringCode0
Seesaw-Net: Convolution Neural Network With Uneven Group ConvolutionCode0
Improving Deep Neural Network Random Initialization Through Neuronal RewiringCode0
Improving Generalizability of Kolmogorov-Arnold Networks via Error-Correcting Output CodesCode0
Improving model calibration with accuracy versus uncertainty optimizationCode0
On the Viability of Monocular Depth Pre-training for Semantic SegmentationCode0
Does resistance to style-transfer equal Global Shape Bias? Measuring network sensitivity to global shape configurationCode0
BRIDLE: Generalized Self-supervised Learning with QuantizationCode0
Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase SamplingCode0
Information Competing Process for Learning Diversified RepresentationsCode0
Deep Predictive Coding Network with Local Recurrent Processing for Object RecognitionCode0
Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language ModelsCode0
BR-NPA: A Non-Parametric High-Resolution Attention Model to improve the Interpretability of AttentionCode0
SpecRepair: Counter-Example Guided Safety Repair of Deep Neural NetworksCode0
Bayesian Concept Bottleneck Models with LLM PriorsCode0
MCA: Moment Channel Attention NetworksCode0
DeepOBS: A Deep Learning Optimizer Benchmark SuiteCode0
A Multi-task Supervised Compression Model for Split ComputingCode0
Improving (α, f)-Byzantine Resilience in Federated Learning via layerwise aggregation and cosine distanceCode0
Budgeted Training: Rethinking Deep Neural Network Training Under Resource ConstraintsCode0
Deep Object Co-segmentation via Spatial-Semantic Network ModulationCode0
Adaptive Neuron-wise Discriminant Criterion and Adaptive Center Loss at Hidden Layer for Deep Convolutional Neural NetworkCode0
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI gamesCode0
BayesFT: Bayesian Optimization for Fault Tolerant Neural Network ArchitectureCode0
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function OptimizationCode0
DAGNet: A Dual-View Attention-Guided Network for Efficient X-ray Security InspectionCode0
Show:102550
← PrevPage 64 of 209Next →
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