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
DeepN-JPEG: A Deep Neural Network Favorable JPEG-based Image Compression Framework—0
Deep Neural Networks With Region-Based Pooling Structures for Mammographic Image Classification—0
Baybayin Character Instance Detection—0
Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders—0
Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation—0
Recent Advances in Medical Image Classification—0
Human-interpretable model explainability on high-dimensional data—0
Hybrid Deep Learning Framework for Classification of Kidney CT Images: Diagnosis of Stones, Cysts, and Tumors—0
Deep Neural Networks Fused with Textures for Image Classification—0
Deep Neural Networks for Pattern Recognition—0
A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning—0
Deep Neural Networks for Object Detection—0
Deep Neural Networks for Marine Debris Detection in Sonar Images—0
Batch Normalization: Accelerating Deep Network Training byReducing Internal Covariate Shift—0
Human-Centered Evaluation of XAI Methods—0
Deep Neural Networks Based Weight Approximation and Computation Reuse for 2-D Image Classification—0
Deep Neural Networks and PIDE discretizations—0
Deep Neural Networks—0
Deep Neural Network Models Trained With A Fixed Random Classifier Transfer Better Across Domains—0
A Multiresolution Clinical Decision Support System Based on Fractal Model Design for Classification of Histological Brain Tumours—0
Adaptive Mixture of Low-Rank Factorizations for Compact Neural Modeling—0
Human Face Recognition using Gabor based Kernel Entropy Component Analysis—0
Deep neural network loses attention to adversarial images—0
Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches—0
Achieving 3D Attention via Triplet Squeeze and Excitation Block—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