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 86268650 of 10420 papers

TitleStatusHype
H²O: Heatmap by Hierarchical OcclusionCode0
Reproduction Report on "Learn to Pay Attention"Code0
Can language-guided unsupervised adaptation improve medical image classification using unpaired images and texts?Code0
Efficient Automatic Machine Learning via Design GraphsCode0
Constrained Linear Data-feature Mapping for Image ClassificationCode0
Constrained Labeling for Weakly Supervised LearningCode0
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized RecommendationCode0
Efficient Architecture Search by Network TransformationCode0
Augmenting Prototype Network with TransMix for Few-shot Hyperspectral Image ClassificationCode0
Pyramid Adversarial Training Improves ViT PerformanceCode0
An AI-Powered VVPAT Counter for Elections in IndiaCode0
Efficient approximation of Earth Mover's Distance Based on Nearest Neighbor SearchCode0
Membership Inference Attacks on Lottery Ticket NetworksCode0
Hard Negative Sample Mining for Whole Slide Image ClassificationCode0
Efficient and Generic 1D Dilated Convolution Layer for Deep LearningCode0
Efficient and Differentiable Conformal Prediction with General Function ClassesCode0
Hardware Acceleration for Real-Time Wildfire Detection Onboard Drone NetworksCode0
Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin DynamicsCode0
Hardware Resilience Properties of Text-Guided Image ClassifiersCode0
Memorization Capacity of Multi-Head Attention in TransformersCode0
Augmenting Data with Mixup for Sentence Classification: An Empirical StudyCode0
Effects of the Nonlinearity in Activation Functions on the Performance of Deep Learning ModelsCode0
Effects of Degradations on Deep Neural Network ArchitecturesCode0
Effect of Superpixel Aggregation on Explanations in LIME -- A Case Study with Biological DataCode0
Harnessing Adversarial Distances to Discover High-Confidence ErrorsCode0
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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
10RevCol-HTop 1 Accuracy90Unverified