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 3451–3475 of 10420 papers

TitleStatusHype
Binarizing by Classification: Is soft function really necessary?—0
Efficient multivariate sequence classification—0
Factorized Higher-Order CNNs with an Application to Spatio-Temporal Emotion Estimation—0
Diagnostic Text-guided Representation Learning in Hierarchical Classification for Pathological Whole Slide Image—0
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer—0
Binarized Convolutional Neural Networks for Efficient Inference on GPUs—0
An Automatic Image Content Retrieval Method for better Mobile Device Display User Experiences—0
Diagnosis of Skin Cancer Using VGG16 and VGG19 Based Transfer Learning Models—0
Efficient Neural Network Training via Subset Pretraining—0
Efficient Neural Vision Systems Based on Convolutional Image Acquisition—0
Efficient non-uniform quantizer for quantized neural network targeting reconfigurable hardware—0
Diagnosis of Autism in Children using Facial Analysis and Deep Learning—0
Diagnosis of Alzheimer's Disease via Multi-modality 3D Convolutional Neural Network—0
Diagnosis and Analysis of Celiac Disease and Environmental Enteropathy on Biopsy Images using Deep Learning Approaches—0
BI-MAML: Balanced Incremental Approach for Meta Learning—0
Efficient Privacy Preserving Edge Computing Framework for Image Classification—0
A Closer Look at Benchmarking Self-Supervised Pre-training with Image Classification—0
Efficient, probabilistic analysis of combinatorial neural codes—0
Efficient Progressive Neural Architecture Search—0
Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints—0
Federated Learning for Medical Image Classification: A Comprehensive Benchmark—0
Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations—0
Diagnosing Convolutional Neural Networks using their Spectral Response—0
Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain—0
FedDropoutAvg: Generalizable federated learning for histopathology image classification—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