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 77767800 of 10420 papers

TitleStatusHype
Evaluating the Progress of Deep Learning for Visual Relational Concepts0
Spiking Inception Module for Multi-layer Unsupervised Spiking Neural NetworksCode1
Black Box Explanation by Learning Image Exemplars in the Latent Feature Space0
¶ILCRO: Making Importance Landscapes Flat Again0
Variance Reduction with Sparse Gradients0
Depthwise-STFT based separable Convolutional Neural Networks0
Point-of-Care Diabetic Retinopathy Diagnosis: A Standalone Mobile Application Approach0
A Fully Convolutional Normalization Approach of Head and Neck Cancer Outcome Prediction0
CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare RecordsCode1
Stochastic Optimization of Plain Convolutional Neural Networks with Simple methodsCode0
No Routing Needed Between CapsulesCode1
AutoFCL: Automatically Tuning Fully Connected Layers for Handling Small DatasetCode0
Optimized Generic Feature Learning for Few-shot Classification across Domains0
Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread0
FixMatch: Simplifying Semi-Supervised Learning with Consistency and ConfidenceCode2
Block-wise Scrambled Image Recognition Using Adaptation Network0
GhostImage: Remote Perception Attacks against Camera-based Image Classification SystemsCode0
batchboost: regularization for stabilizing training with resistance to underfitting & overfittingCode1
FixMatch: Simplifying Semi-Supervised Learning with Consistency and ConfidenceCode2
Multiplication fusion of sparse and collaborative-competitive representation for image classificationCode0
Spectral Pyramid Graph Attention Network for Hyperspectral Image Classification0
SlideImages: A Dataset for Educational Image Classification0
Gradient Surgery for Multi-Task LearningCode1
Harmonic Convolutional Networks based on Discrete Cosine TransformCode1
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural NetworkCode1
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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
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified