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 5976–6000 of 10420 papers

TitleStatusHype
Leveraging Chat-Based Large Vision Language Models for Multimodal Out-Of-Context Detection—0
Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations—0
Diabetic retinopathy image classification method based on GreenBen data augmentation—0
Let's Go Shopping (LGS) -- Web-Scale Image-Text Dataset for Visual Concept Understanding—0
Let's Focus: Focused Backdoor Attack against Federated Transfer Learning—0
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation—0
An Automated CNN Recommendation System for Image Classification Tasks—0
A Dataset for Troll Classification of TamilMemes—0
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification—0
Less is More: Dimension Reduction Finds On-Manifold Adversarial Examples in Hard-Label Attacks—0
big.LITTLE Vision Transformer for Efficient Visual Recognition—0
Training Data Subset Search with Ensemble Active Learning—0
Less-forgetful Learning for Domain Expansion in Deep Neural Networks—0
Lesion2Vec: Deep Metric Learning for Few-Shot Multiple Lesions Recognition in Wireless Capsule Endoscopy Video—0
AED: An black-box NLP classifier model attacker—0
LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations—0
Lensless-camera based machine learning for image classification—0
LeDNet: Localization-enabled Deep Neural Network for Multi-Label Radiography Image Classification—0
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning—0
Learn to Predict Sets Using Feed-Forward Neural Networks—0
Local Descriptors Weighted Adaptive Threshold Filtering For Few-Shot Learning—0
DFDL: Discriminative Feature-oriented Dictionary Learning for Histopathological Image Classification—0
BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval—0
An Attention Module for Convolutional Neural Networks—0
A Dataset and Benchmarks for Multimedia Social Analysis—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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified