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 6601–6650 of 10420 papers

TitleStatusHype
Multi-layer Representation Learning for Robust OOD Image Classification—0
Dynamic ConvNets on Tiny Devices via Nested Sparsity—0
An Intelligent Hybrid Model for Identity Document Classification—0
Riemannian Complex Matrix Convolution Network for PolSAR Image Classification—0
Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification—0
A survey on Semi-, Self- and Unsupervised Learning for Image Classification—0
NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results—0
Generative Data Mining with Longtail-Guided Diffusion—0
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution—0
Multilingual Image Corpus: Annotation Protocol—0
Multilingual Image Corpus – Towards a Multimodal and Multilingual Dataset—0
Dynamic Differential-Privacy Preserving SGD—0
Multi-loss ensemble deep learning for chest X-ray classification—0
Neural Sampling Machine with Stochastic Synapse allows Brain-like Learning and Inference—0
Multi-manifold Attention for Vision Transformers—0
NeuRN: Neuro-inspired Domain Generalization for Image Classification—0
Aggregating Local Deep Features for Image Retrieval—0
Multi-method Integration with Confidence-based Weighting for Zero-shot Image Classification—0
Active Learning for Vision-Language Models—0
Multimodal Approaches to Fair Image Classification: An Ethical Perspective—0
Generative Adversarial Zero-shot Learning via Knowledge Graphs—0
Multimodal brain tumor classification—0
Neural Networks Designing Neural Networks: Multi-Objective Hyper-Parameter Optimization—0
Generative Adversarial Networks for Bitcoin Data Augmentation—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
Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification—0
Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption—0
Multimodal Item Categorization Fully Based on Transformer—0
A Survey on Few-Shot Class-Incremental Learning—0
NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning—0
Generative Adversarial Networks and Probabilistic Graph Models for Hyperspectral Image Classification—0
Conversion and Implementation of State-of-the-Art Deep Learning Algorithms for the Classification of Diabetic Retinopathy—0
Multimodal Prediction based on Graph Representations—0
Multimodal Semantic Transfer from Text to Image. Fine-Grained Image Classification by Distributional Semantics—0
Dynamic Memory-enhanced Transformer for Hyperspectral Image Classification—0
An interpretation of the final fully connected layer—0
Generating Triples with Adversarial Networks for Scene Graph Construction—0
MultiNet with Transformers: A Model for Cancer Diagnosis Using Images—0
Convergence of Deep ReLU Networks—0
A Survey on Evolutionary Neural Architecture Search—0
Neural Network Layer Algebra: A Framework to Measure Capacity and Compression in Deep Learning—0
Generating Realistic COVID19 X-rays with a Mean Teacher + Transfer Learning GAN—0
conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks—0
Robust and Real-time Deep Tracking Via Multi-Scale Domain Adaptation—0
ConvBLS: An Effective and Efficient Incremental Convolutional Broad Learning System for Image Classification—0
Multipath Sparse Coding Using Hierarchical Matching Pursuit—0
Multi-perspective Contrastive Logit Distillation—0
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends—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