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 4301–4325 of 10420 papers

TitleStatusHype
OOD Augmentation May Be at Odds with Open-Set Recognition—0
Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint—0
Learning to generate imaginary tasks for improving generalization in meta-learning—0
Uncovering bias in the PlantVillage datasetCode0
Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEsCode2
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
Masked Unsupervised Self-training for Label-free Image ClassificationCode1
IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach—0
Pancreatic Cancer ROSE Image Classification Based on Multiple Instance Learning with Shuffle Instances—0
8-bit Numerical Formats for Deep Neural Networks—0
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization GuaranteesCode0
Tackling covariate shift with node-based Bayesian neural networksCode1
Is More Data All You Need? A Causal Exploration—0
Separable Self-attention for Mobile Vision TransformersCode3
JigsawHSI: a network for Hyperspectral Image classificationCode1
Search Space Adaptation for Differentiable Neural Architecture Search in Image Classification—0
A Control Theoretic Framework for Adaptive Gradient Optimizers in Machine Learning—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