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 7001–7025 of 10420 papers

TitleStatusHype
A Comprehensive Literature Review on Sweet Orange Leaf Diseases—0
Single-source Domain Expansion Network for Cross-Scene Hyperspectral Image Classification—0
One-Shot Neural Architecture Search with Network Similarity Directed Initialization for Pathological Image Classification—0
One-Shot Online Testing of Deep Neural Networks Based on Distribution Shift Detection—0
ASU-CNN: An Efficient Deep Architecture for Image Classification and Feature Visualizations—0
One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers—0
Fusion of Foundation and Vision Transformer Model Features for Dermatoscopic Image Classification—0
On evaluating CNN representations for low resource medical image classification—0
On Evaluating the Adversarial Robustness of Semantic Segmentation Models—0
One-Vote Veto: Semi-Supervised Learning for Low-Shot Glaucoma Diagnosis—0
One Weight Bitwidth to Rule Them All—0
A study on the Interpretability of Neural Retrieval Models using DeepSHAP—0
On Expected Accuracy—0
On Expert Estimation in Hierarchical Mixture of Experts: Beyond Softmax Gating Functions—0
Fusion of evidential CNN classifiers for image classification—0
Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour—0
Fusion of Convolutional Neural Network and Statistical Features for Texture classification—0
On fine-tuning of Autoencoders for Fuzzy rule classifiers—0
Continual Learning with Pretrained Backbones by Tuning in the Input Space—0
EmbRace: Accelerating Sparse Communication for Distributed Training of NLP Neural Networks—0
Active Globally Explainable Learning for Medical Images via Class Association Embedding and Cyclic Adversarial Generation—0
Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation—0
On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors—0
Fusion framework and multimodality for the Laplacian approximation of Bayesian neural networks—0
Continual Learning with Dependency Preserving Hypernetworks—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