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 13611370 of 10420 papers

TitleStatusHype
The Penalized Inverse Probability Measure for Conformal Classification0
DenoiseRep: Denoising Model for Representation LearningCode1
Large-Scale Evaluation of Open-Set Image Classification TechniquesCode0
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models0
Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and TransparencyCode0
Multi-Teacher Multi-Objective Meta-Learning for Zero-Shot Hyperspectral Band Selection0
Intelligent Multi-View Test Time AugmentationCode0
A^2-MAE: A spatial-temporal-spectral unified remote sensing pre-training method based on anchor-aware masked autoencoder0
Transformation-Dependent Adversarial Attacks0
AdaNCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer0
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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