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 7751–7775 of 10420 papers

TitleStatusHype
Reconstruction Regularized Deep Metric Learning for Multi-label Image Classification—0
Flat-LoRA: Low-Rank Adaption over a Flat Loss Landscape—0
Conjugate-gradient-based Adam for stochastic optimization and its application to deep learning—0
Radial Basis Feature Transformation to Arm CNNs Against Adversarial Attacks—0
Radio Signal Classification by Adversarially Robust Quantum Machine Learning—0
Exploring Visual Prompts for Whole Slide Image Classification with Multiple Instance Learning—0
RadTex: Learning Efficient Radiograph Representations from Text Reports—0
Exposing Image Classifier Shortcuts with Counterfactual Frequency (CoF) Tables—0
CongNaMul: A Dataset for Advanced Image Processing of Soybean Sprouts—0
RAID: Randomized Adversarial-Input Detection for Neural Networks—0
RAILS: A Robust Adversarial Immune-inspired Learning System—0
A Sneak Attack on Segmentation of Medical Images Using Deep Neural Network Classifiers—0
A Smart System for Selection of Optimal Product Images in E-Commerce—0
Raising the Bar on the Evaluation of Out-of-Distribution Detection—0
Ramanujan Bipartite Graph Products for Efficient Block Sparse Neural Networks—0
Confusable Learning for Large-class Few-Shot Classification—0
A Framework using Contrastive Learning for Classification with Noisy Labels—0
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder—0
Randomized based restricted kernel machine for hyperspectral image classification—0
Randomized ICA and LDA Dimensionality Reduction Methods for Hyperspectral Image Classification—0
Randomized kernels for large scale Earth observation applications—0
Randomized Principal Component Analysis for Hyperspectral Image Classification—0
Random Laplace Feature Maps for Semigroup Kernels on Histograms—0
Random Padding Data Augmentation—0
Fixing Weight Decay Regularization in Adam—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