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 6551–6575 of 10420 papers

TitleStatusHype
Fuzzy Rank-based Fusion of CNN Models using Gompertz Function for Screening COVID-19 CT-ScansCode0
Federated Model Search via Reinforcement Learning—0
Federated Learning with Downlink Device Selection—0
Introducing the structural bases of typicality effects in deep learning—0
Understanding Intrinsic Robustness Using Label UncertaintyCode0
Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation—0
Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps—0
Generalization Error Analysis of Neural networks with Gradient Based Regularization—0
Confidence-based Out-of-Distribution Detection: A Comparative Study and AnalysisCode0
Continual Contrastive Learning for Image ClassificationCode0
Exact Backpropagation in Binary Weighted Networks with Group Weight TransformationsCode0
MMF: Multi-Task Multi-Structure Fusion for Hierarchical Image Classification—0
Magnification-independent Histopathological Image Classification with Similarity-based Multi-scale EmbeddingsCode0
Neural Network Layer Algebra: A Framework to Measure Capacity and Compression in Deep Learning—0
Overhead-MNIST: Machine Learning Baselines for Image Classification—0
Temporally Sorting Images from Real-World EventsCode0
Towards Measuring Bias in Image Classification—0
On the Practicality of Deterministic Epistemic UncertaintyCode0
Exploring Robust Architectures for Deep Artificial Neural NetworksCode0
One-class Steel Detector Using Patch GAN Discriminator for Visualising Anomalous Feature Map—0
Understanding Adversarial Examples Through Deep Neural Network's Response Surface and Uncertainty Regions—0
Exploring Localization for Self-supervised Fine-grained Contrastive Learning—0
Cells are Actors: Social Network Analysis with Classical ML for SOTA Histology Image ClassificationCode0
Adaptive Sample Selection for Robust Learning under Label NoiseCode0
Zoo-Tuning: Adaptive Transfer from a Zoo of Models—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
10RevCol-HTop 1 Accuracy90—Unverified