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 1201–1225 of 10419 papers

TitleStatusHype
PADRe: A Unifying Polynomial Attention Drop-in Replacement for Efficient Vision Transformer—0
LiteGPT: Large Vision-Language Model for Joint Chest X-ray Localization and Classification TaskCode1
Probing the Efficacy of Federated Parameter-Efficient Fine-Tuning of Vision Transformers for Medical Image Classification—0
Employing Sentence Space Embedding for Classification of Data Stream from Fake News DomainCode0
Unconstrained Open Vocabulary Image Classification: Zero-Shot Transfer from Text to Image via CLIP InversionCode0
Improving Hyperbolic Representations via Gromov-Wasserstein Regularization—0
DataDream: Few-shot Guided Dataset GenerationCode2
Pathology-knowledge Enhanced Multi-instance Prompt Learning for Few-shot Whole Slide Image Classification—0
Anticipating Future Object Compositions without Forgetting—0
Backdoor Attacks against Image-to-Image Networks—0
GeoMix: Towards Geometry-Aware Data AugmentationCode0
Deep Learning Algorithms for Early Diagnosis of Acute Lymphoblastic Leukemia—0
Augmented Neural Fine-Tuning for Efficient Backdoor PurificationCode1
A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification—0
Seq-to-Final: A Benchmark for Tuning from Sequential Distributions to a Final Time PointCode0
Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays OffCode0
GPC: Generative and General Pathology Image Classifier—0
A Mathematical Framework, a Taxonomy of Modeling Paradigms, and a Suite of Learning Techniques for Neural-Symbolic SystemsCode0
On Exact Bit-level Reversible Transformers Without Changing ArchitecturesCode1
SlideGCD: Slide-based Graph Collaborative Training with Knowledge Distillation for Whole Slide Image ClassificationCode0
Open Vocabulary Multi-Label Video Classification—0
CAMP: Continuous and Adaptive Learning Model in PathologyCode0
Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification—0
Local Clustering for Lung Cancer Image Classification via Sparse Solution TechniqueCode0
Histopathological Image Classification with Cell Morphology Aware Deep Neural NetworksCode1
Show:102550
← PrevPage 49 of 417Next →
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