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

Showing 38763900 of 10420 papers

TitleStatusHype
Image Classification of Melanoma, Nevus and Seborrheic Keratosis by Deep Neural Network EnsembleCode0
A Contrastive Knowledge Transfer Framework for Model Compression and Transfer LearningCode0
SGNet: A Super-class Guided Network for Image Classification and Object DetectionCode0
Model Input-Output Configuration Search with Embedded Feature Selection for Sensor Time-series and Image ClassificationCode0
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object DetectorCode0
Accelerating Targeted Hard-Label Adversarial Attacks in Low-Query Black-Box SettingsCode0
Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud ClassifiersCode0
Identification of Stone Deterioration Patterns with Large Multimodal ModelsCode0
IDEA: Image Description Enhanced CLIP-AdapterCode0
sharpDARTS: Faster and More Accurate Differentiable Architecture SearchCode0
Identifying Adversarially Attackable and Robust SamplesCode0
Cartoon Face Recognition: A Benchmark DatasetCode0
AugStatic - A Light-Weight Image Augmentation LibraryCode0
I-CEE: Tailoring Explanations of Image Classification Models to User ExpertiseCode0
Shoestring: Graph-Based Semi-Supervised Learning with Severely Limited Labeled DataCode0
Data Augmentation in a Hybrid Approach for Aspect-Based Sentiment AnalysisCode0
Comb, Prune, Distill: Towards Unified Pruning for Vision Model CompressionCode0
iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-Training for Visual RecognitionCode0
Identifying Bias in Deep Neural Networks Using Image TransformsCode0
ImageNot: A contrast with ImageNet preserves model rankingsCode0
HyperZZW Operator Connects Slow-Fast Networks for Full Context InteractionCode0
AlgebraNetsCode0
Sign-MAML: Efficient Model-Agnostic Meta-Learning by SignSGDCode0
Tuned Compositional Feature Replays for Efficient Stream LearningCode0
Hyperspectral Image Classification With Contrastive Graph Convolutional NetworkCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified