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 751–775 of 10419 papers

TitleStatusHype
Overcoming label shift in targeted federated learning—0
Domain Expansion and Boundary Growth for Open-Set Single-Source Domain Generalization—0
ADOPT: Modified Adam Can Converge with Any β_2 with the Optimal RateCode3
Judge Like a Real Doctor: Dual Teacher Sample Consistency Framework for Semi-supervised Medical Image Classification—0
TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives—0
FUSECAPS: Investigating Feature Fusion Based Framework for Capsule Endoscopy Image Classification—0
Exploiting Contextual Uncertainty of Visual Data for Efficient Training of Deep Models—0
Undermining Image and Text Classification Algorithms Using Adversarial Attacks—0
Efficient Deep Learning Infrastructures for Embedded Computing Systems: A Comprehensive Survey and Future Envision—0
ParseCaps: An Interpretable Parsing Capsule Network for Medical Image Diagnosis—0
Optimizing Gastrointestinal Diagnostics: A CNN-Based Model for VCE Image Classification—0
Few-Class Arena: A Benchmark for Efficient Selection of Vision Models and Dataset Difficulty MeasurementCode0
MIC: Medical Image Classification Using Chest X-ray (COVID-19 and Pneumonia) Dataset with the Help of CNN and Customized CNN—0
How many classifiers do we need?—0
Class Incremental Learning with Task-Specific Batch Normalization and Out-of-Distribution Detection—0
FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration DetectionCode0
Retrieval-enriched zero-shot image classification in low-resource domains—0
Learning local discrete features in explainable-by-design convolutional neural networksCode0
Aerial Flood Scene Classification Using Fine-Tuned Attention-based Architecture for Flood-Prone Countries in South Asia—0
Semantic Knowledge Distillation for Onboard Satellite Earth Observation Image ClassificationCode0
Domain-decomposed image classification algorithms using linear discriminant analysis and convolutional neural networks—0
Multilingual Vision-Language Pre-training for the Remote Sensing DomainCode0
CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP—0
Saliency-Based diversity and fairness Metric and FaceKeepOriginalAugment: A Novel Approach for Enhancing Fairness and Diversity—0
Developing Convolutional Neural Networks using a Novel Lamarckian Co-Evolutionary Algorithm—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