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

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Showing 3901–3950 of 10420 papers

TitleStatusHype
Let's Go Shopping (LGS) -- Web-Scale Image-Text Dataset for Visual Concept Understanding—0
Setting the Record Straight on Transformer Oversmoothing—0
Benchmark Analysis of Various Pre-trained Deep Learning Models on ASSIRA Cats and Dogs Dataset—0
Image classification network enhancement methods based on knowledge injection—0
Color-S^4L: Self-supervised Semi-supervised Learning with Image Colorization—0
Dual-Channel Reliable Breast Ultrasound Image Classification Based on Explainable Attribution and Uncertainty Quantification—0
A Large-Scale Empirical Study on Improving the Fairness of Image Classification ModelsCode0
conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks—0
End-to-End Anti-Backdoor Learning on Images and Time Series—0
Transferable Learned Image Compression-Resistant Adversarial Perturbations—0
On the Stability of a non-hyperbolic nonlinear map with non-bounded set of non-isolated fixed points with applications to Machine LearningCode0
Object-oriented backdoor attack against image captioning—0
Nonlinear functional regression by functional deep neural network with kernel embedding—0
Benchmarking PathCLIP for Pathology Image Analysis—0
CrisisViT: A Robust Vision Transformer for Crisis Image ClassificationCode0
SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal Alignment—0
Lightweight Adaptive Feature De-drifting for Compressed Image Classification—0
ProbMCL: Simple Probabilistic Contrastive Learning for Multi-label Visual ClassificationCode0
Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control—0
Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-training—0
SLICE: Stabilized LIME for Consistent Explanations for Image ClassificationCode0
Fair-VPT: Fair Visual Prompt Tuning for Image Classification—0
PSDPM: Prototype-based Secondary Discriminative Pixels Mining for Weakly Supervised Semantic SegmentationCode0
Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine LearningCode0
OmniVec2 - A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning—0
Logarithmic Lenses: Exploring Log RGB Data for Image Classification—0
MultiFusionNet: Multilayer Multimodal Fusion of Deep Neural Networks for Chest X-Ray Image Classification—0
Self-supervised learning for skin cancer diagnosis with limited training dataCode0
Bayesian Exploration of Pre-trained Models for Low-shot Image Classification—0
In-distribution Public Data Synthesis with Diffusion Models for Differentially Private Image ClassificationCode0
Not All Classes Stand on Same Embeddings: Calibrating a Semantic Distance with Metric Tensor—0
Label-Efficient Group Robustness via Out-of-Distribution Concept Curation—0
SSL-OTA: Unveiling Backdoor Threats in Self-Supervised Learning for Object Detection—0
Pushing Boundaries: Exploring Zero Shot Object Classification with Large Multimodal Models—0
Adversarial Attacks on Image Classification Models: Analysis and Defense—0
Replica Tree-based Federated Learning using Limited DataCode0
RL-LOGO: Deep Reinforcement Learning Localization for Logo Recognition—0
Domain Generalization with Vital Phase AugmentationCode0
Gemini Pro Defeated by GPT-4V: Evidence from Education—0
Sorting of Smartphone Components for Recycling Through Convolutional Neural Networks—0
Error-free Training for Artificial Neural NetworkCode0
Sample selection with noise rate estimation in noise learning of medical image analysis—0
On the Promises and Challenges of Multimodal Foundation Models for Geographical, Environmental, Agricultural, and Urban Planning Applications—0
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models—0
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation—0
GROOD: Gradient-Aware Out-of-Distribution Detection—0
Open-Set: ID Card Presentation Attack Detection using Neural Transfer Style—0
Joint Sensing and Task-Oriented Communications with Image and Wireless Data Modalities for Dynamic Spectrum Access—0
Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with OutliersCode0
Enhancing Neural Training via a Correlated Dynamics Model—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