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 4301–4350 of 10420 papers

TitleStatusHype
Learning to generate imaginary tasks for improving generalization in meta-learning—0
Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint—0
Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEsCode2
Uncovering bias in the PlantVillage datasetCode0
OOD Augmentation May Be at Odds with Open-Set Recognition—0
Neural Prompt SearchCode2
S3Net: Spectral–Spatial Siamese Network for Few-Shot Hyperspectral Image ClassificationCode1
FixCaps: An Improved Capsules Network for Diagnosis of Skin CancerCode1
Gradient Obfuscation Gives a False Sense of Security in Federated Learning—0
Solving the Spike Feature Information Vanishing Problem in Spiking Deep Q Network with Potential Based Normalization—0
MobileOne: An Improved One millisecond Mobile BackboneCode2
Disentangled Ontology Embedding for Zero-shot LearningCode1
Improving Evaluation of Debiasing in Image Classification—0
Localizing Semantic Patches for Accelerating Image ClassificationCode1
Pancreatic Cancer ROSE Image Classification Based on Multiple Instance Learning with Shuffle Instances—0
IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach—0
Masked Unsupervised Self-training for Label-free Image ClassificationCode1
8-bit Numerical Formats for Deep Neural Networks—0
Tackling covariate shift with node-based Bayesian neural networksCode1
Is More Data All You Need? A Causal Exploration—0
JigsawHSI: a network for Hyperspectral Image classificationCode1
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization GuaranteesCode0
Separable Self-attention for Mobile Vision TransformersCode3
Search Space Adaptation for Differentiable Neural Architecture Search in Image Classification—0
A Control Theoretic Framework for Adaptive Gradient Optimizers in Machine Learning—0
Delving into the Openness of CLIPCode0
Effects of Auxiliary Knowledge on Continual Learning—0
Supernet Training for Federated Image Classification under System HeterogeneityCode0
Distributional loss for convolutional neural network regression and application to GNSS multi-path estimation—0
Learning rich optical embeddings for privacy-preserving lensless image classification—0
YOLOv5s-GTB: light-weighted and improved YOLOv5s for bridge crack detection—0
A memory-efficient neural ODE framework based on high-level adjoint differentiationCode1
VL-BEiT: Generative Vision-Language Pretraining—0
Prefix Conditioning Unifies Language and Label Supervision—0
Leveraging Systematic Knowledge of 2D Transformations—0
Optimizing Relevance Maps of Vision Transformers Improves RobustnessCode1
CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classification Framework Using CNN, Visual Transformer and Multilayer Perceptron—0
Multilingual Image Corpus – Towards a Multimodal and Multilingual Dataset—0
Analysis of Catastrophic Forgetting for Random Orthogonal Transformation Tasks in the Overparameterized Regime—0
Federated Learning in Non-IID Settings Aided by Differentially Private Synthetic DataCode0
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection—0
CLIP4IDC: CLIP for Image Difference CaptioningCode1
Vision GNN: An Image is Worth Graph of NodesCode4
Efficient Self-supervised Vision Pretraining with Local Masked ReconstructionCode1
Star algorithm for NN ensemblingCode0
Dataset Distillation using Neural Feature RegressionCode0
Transformer with Fourier Integral Attentions—0
Deep learning pipeline for image classification on mobile phones—0
Asynchronous Hierarchical Federated Learning—0
FHIST: A Benchmark for Few-shot Classification of Histological Images—0
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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