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 3901–3925 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
Benchmarking PathCLIP for Pathology Image Analysis—0
Object-oriented backdoor attack against image captioning—0
Nonlinear functional regression by functional deep neural network with kernel embedding—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
MultiFusionNet: Multilayer Multimodal Fusion of Deep Neural Networks for Chest X-Ray Image Classification—0
Fair-VPT: Fair Visual Prompt Tuning for Image Classification—0
Label-Efficient Group Robustness via Out-of-Distribution Concept Curation—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
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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