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 5701–5725 of 10420 papers

TitleStatusHype
An evaluation of pre-trained models for feature extraction in image classification—0
Do Convnets Learn Correspondence?—0
Do Better ImageNet Models Transfer Better?—0
Breast Tumor Classification and Segmentation using Convolutional Neural Networks—0
A Neurosymbolic Framework for Bias Correction in Convolutional Neural Networks—0
DMSANet: Dual Multi Scale Attention Network—0
DM-CT: Consistency Training with Data and Model Perturbation—0
Breast Cancer Image Classification Method Based on Deep Transfer Learning—0
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning—0
DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs (Extended)—0
Diving into Optimization of Topology in Neural Networks—0
Breast Cancer Diagnosis Using Machine Learning Techniques—0
A Neural ODE Interpretation of Transformer Layers—0
A deep primal-dual proximal network for image restoration—0
Diversity Matters When Learning From Ensembles—0
Breast Cancer Detection and Diagnosis: A comparative study of state-of-the-arts deep learning architectures—0
Diversity-Driven Learning: Tackling Spurious Correlations and Data Heterogeneity in Federated Models—0
Diversifying Sample Generation for Accurate Data-Free Quantization—0
Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack—0
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning—0
Diversified Ensembling: An Experiment in Crowdsourced Machine Learning—0
Brain tumor grade classification Using LSTM Neural Networks with Domain Pre-Transforms—0
A Neural Markovian Multiresolution Image Labeling Algorithm—0
Diverse Feature Learning by Self-distillation and Reset—0
Brain Tumor Detection and Classification Using a New Evolutionary Convolutional Neural Network—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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified