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 58015825 of 10420 papers

TitleStatusHype
Computer-aided Interpretable Features for Leaf Image ClassificationCode0
MLPerf Tiny BenchmarkCode1
Variational Quanvolutional Neural Networks with enhanced image encodingCode1
Partial success in closing the gap between human and machine visionCode1
pix2rule: End-to-end Neuro-symbolic Rule LearningCode1
NG+ : A Multi-Step Matrix-Product Natural Gradient Method for Deep LearningCode0
DMSANet: Dual Multi Scale Attention Network0
An Interaction-based Convolutional Neural Network (ICNN) Towards Better Understanding of COVID-19 X-ray ImagesCode0
NDPNet: A novel non-linear data projection network for few-shot fine-grained image classification0
Survey: Image Mixing and Deleting for Data AugmentationCode0
On-Off Center-Surround Receptive Fields for Accurate and Robust Image ClassificationCode0
The Backpropagation Algorithm Implemented on Spiking Neuromorphic HardwareCode1
Entropy-based Logic Explanations of Neural NetworksCode1
Disrupting Model Training with Adversarial Shortcuts0
MRSCAtt: A Spatio-Channel Attention-Guided Network for Mars Rover Image ClassificationCode0
Comparative Investigation of Learning Algorithms for Image Classification with Small Dataset0
HR-NAS: Searching Efficient High-Resolution Neural Architectures with Lightweight TransformersCode1
Spectral Unsupervised Domain Adaptation for Visual Recognition0
Monotonic Neural Network: combining Deep Learning with Domain Knowledge for Chiller Plants Energy Optimization0
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales0
Differentially Private Federated Learning via Inexact ADMM0
MlTr: Multi-label Classification with TransformerCode1
Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous Distributed Learning0
AugNet: End-to-End Unsupervised Visual Representation Learning with Image AugmentationCode1
Generate, Annotate, and Learn: NLP with Synthetic TextCode0
Show:102550
← PrevPage 233 of 417Next →

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