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 5951–5975 of 10420 papers

TitleStatusHype
Diagnosing Convolutional Neural Networks using their Spectral Response—0
Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations—0
Leveraging Conditional Mutual Information to Improve Large Language Model Fine-Tuning For Classification—0
Light Lies: Optical Adversarial Attack—0
Leveraging Computer Vision Application in Visual Arts: A Case Study on the Use of Residual Neural Network to Classify and Analyze Baroque Paintings—0
Leveraging CNNs and Ensemble Learning for Automated Disaster Image Classification—0
An Automated Deep Learning Approach for Bacterial Image Classification—0
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
Linear Context Transform Block—0
Linearised Laplace Inference in Networks with Normalisation Layers and the Neural g-Prior—0
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation—0
Linear Spatial Pyramid Matching Using Non-convex and non-negative Sparse Coding for Image Classification—0
An Automated CNN Recommendation System for Image Classification Tasks—0
Linking ImageNet WordNet Synsets with Wikidata—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
LiteDenseNet: A Lightweight Network for Hyperspectral Image Classification—0
Less-forgetful Learning for Domain Expansion in Deep Neural Networks—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
10RevCol-HTop 1 Accuracy90—Unverified