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 7751–7800 of 10420 papers

TitleStatusHype
Recurrent Residual Learning for Action Recognition—0
RedSync : Reducing Synchronization Traffic for Distributed Deep Learning—0
Flat-LoRA: Low-Rank Adaption over a Flat Loss Landscape—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
Computational and Storage Efficient Quadratic Neurons for Deep Neural Networks—0
RAID: Randomized Adversarial-Input Detection for Neural Networks—0
RAILS: A Robust Adversarial Immune-inspired Learning System—0
Conjugate-gradient-based Adam for stochastic optimization and its application to deep learning—0
Combined convolutional and recurrent neural networks for hierarchical classification of images—0
Raising the Bar on the Evaluation of Out-of-Distribution Detection—0
Ramanujan Bipartite Graph Products for Efficient Block Sparse Neural Networks—0
CongNaMul: A Dataset for Advanced Image Processing of Soybean Sprouts—0
A Sneak Attack on Segmentation of Medical Images Using Deep Neural Network Classifiers—0
Recurrently Exploring Class-wise Attention in A Hybrid Convolutional and Bidirectional LSTM Network for Multi-label Aerial Image Classification—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
Random Projections on Manifolds of Symmetric Positive Definite Matrices for Image Classification—0
A Smart System for Selection of Optimal Product Images in E-Commerce—0
Rank4Class: A Ranking Formulation for Multiclass Classification—0
Rank4Class: Examining Multiclass Classification through the Lens of Learning to Rank—0
Confusable Learning for Large-class Few-Shot Classification—0
Rank Selection of CP-decomposed Convolutional Layers with Variational Bayesian Matrix Factorization—0
Extrapolation Frameworks in Cognitive Psychology Suitable for Study of Image Classification Models—0
A Framework using Contrastive Learning for Classification with Noisy Labels—0
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder—0
Recurrent Convolution for Compact and Cost-Adjustable Neural Networks: An Empirical Study—0
Fixing Weight Decay Regularization in Adam—0
Fixing the Teacher-Student Knowledge Discrepancy in Distillation—0
RaViTT: Random Vision Transformer Tokens—0
A Smart Recycling Bin Using Waste Image Classification At The Edge—0
Raw Waveform-based Audio Classification Using Sample-level CNN Architectures—0
RBFleX-NAS: Training-Free Neural Architecture Search Using Radial Basis Function Kernel and Hyperparameter Detection—0
RC-DARTS: Resource Constrained Differentiable Architecture Search—0
RCKD: Response-Based Cross-Task Knowledge Distillation for Pathological Image Analysis—0
Activation Space Selectable Kolmogorov-Arnold Networks—0
R-Cut: Enhancing Explainability in Vision Transformers with Relationship Weighted Out and Cut—0
Fixed smooth convolutional layer for avoiding checkerboard artifacts in CNNs—0
Reading Is Believing: Revisiting Language Bottleneck Models for Image Classification—0
CONFINE: Conformal Prediction for Interpretable Neural Networks—0
Fixed-Point Back-Propagation Training—0
ASL Recognition with Metric-Learning based Lightweight Network—0
A framework for the automation of testing computer vision systems—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