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

Showing 65766600 of 10420 papers

TitleStatusHype
GANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial LearningCode1
Differentially Private Synthetic Medical Data Generation using Convolutional GANsCode1
Generative Interventions for Causal LearningCode1
FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional ActivationsCode1
LQF: Linear Quadratic Fine-Tuning0
ResizeMix: Mixing Data with Preserved Object Information and True Labels0
Color Channel Perturbation Attacks for Fooling Convolutional Neural Networks and A Defense Against Such AttacksCode0
Semi-supervised Hyperspectral Image Classification with Graph Clustering Convolutional Networks0
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks0
Fusing CNNs and statistical indicators to improve image classificationCode0
Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image ClassificationCode0
Augmentation Inside the Network0
Minimax Active Learning0
Separation and Concentration in Deep NetworksCode0
When Machine Learning Meets Quantum Computers: A Case StudyCode1
RAILS: A Robust Adversarial Immune-inspired Learning System0
Enabling Retrain-free Deep Neural Network Pruning using Surrogate Lagrangian Relaxation0
Image and Text fusion for UPMC Food-101 \ BERT and CNNsCode1
Attention-based Image Upsampling0
Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning0
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic AugmentationCode1
Deep Learning of Cell Classification using Microscope Images of Intracellular Microtubule Networks0
Difficulty in estimating visual information from randomly sampled images0
Point TransformerCode1
Convolutional Neural Networks from Image Markers0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified