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 74017425 of 10420 papers

TitleStatusHype
Learning Augmentation Network via Influence Functions0
Benchmarking Adversarial Robustness on Image ClassificationCode1
DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover's Distance and Structured Classifiers0
Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data0
Deep Degradation Prior for Low-Quality Image Classification0
Attentive Weights Generation for Few Shot Learning via Information MaximizationCode1
Rethinking Computer-Aided Tuberculosis Diagnosis0
Stochastic Classifiers for Unsupervised Domain AdaptationCode1
Rotation Equivariant Graph Convolutional Network for Spherical Image ClassificationCode1
GP-NAS: Gaussian Process Based Neural Architecture Search0
Probabilistic Structural Latent Representation for Unsupervised EmbeddingCode0
Frequency Domain Compact 3D Convolutional Neural Networks0
Fixed-Point Back-Propagation Training0
Latent Domain Learning with Dynamic Residual Adapters0
BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements0
Integrating global spatial features in CNN based Hyperspectral/SAR imagery classification0
A Hierarchical Deep Convolutional Neural Network and Gated Recurrent Unit Framework for Structural Damage Detection0
Towards Context-Agnostic Learning Using Synthetic DataCode0
Deep convolutional tensor networkCode1
ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill IdentificationCode1
Overview: Computer vision and machine learning for microstructural characterization and analysis0
Tensor decomposition to Compress Convolutional Layers in Deep LearningCode0
Fuzziness-based Spatial-Spectral Class Discriminant Information Preserving Active Learning for Hyperspectral Image ClassificationCode0
Balanced joint maximum mean discrepancy for deep transfer learningCode0
Explaining Neural Networks by Decoding Layer ActivationsCode0
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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