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 6601–6625 of 10420 papers

TitleStatusHype
Generative Adversarial Zero-shot Learning via Knowledge Graphs—0
Dynamic ConvNets on Tiny Devices via Nested Sparsity—0
Neural Architecture Search Over a Graph Search Space—0
Generative Adversarial Networks for Bitcoin Data Augmentation—0
Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification—0
Generative Adversarial Networks Based on Collaborative Learning and Attention Mechanism for Hyperspectral Image Classification—0
Convex Distillation: Efficient Compression of Deep Networks via Convex Optimization—0
Generative Adversarial Networks Based on Transformer Encoder and Convolution Block for Hyperspectral Image Classification—0
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution—0
Multilingual Image Corpus: Annotation Protocol—0
Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification—0
Dynamic Differential-Privacy Preserving SGD—0
Multi-loss ensemble deep learning for chest X-ray classification—0
Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption—0
Multi-manifold Attention for Vision Transformers—0
A Survey on Few-Shot Class-Incremental Learning—0
Neural Architecture Search with an Efficient Multiobjective Evolutionary Framework—0
Multi-method Integration with Confidence-based Weighting for Zero-shot Image Classification—0
Dynamic Fusion based Federated Learning for COVID-19 Detection—0
Multimodal Approaches to Fair Image Classification: An Ethical Perspective—0
Generative Adversarial Networks and Probabilistic Graph Models for Hyperspectral Image Classification—0
Multimodal brain tumor classification—0
Conversion and Implementation of State-of-the-Art Deep Learning Algorithms for the Classification of Diabetic Retinopathy—0
Generating Triples with Adversarial Networks for Scene Graph Construction—0
Convergence of Deep ReLU 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