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 30713080 of 10420 papers

TitleStatusHype
Low-Light Enhancement Effect on Classification and Detection: An Empirical Study0
Flat-LoRA: Low-Rank Adaption over a Flat Loss Landscape0
Drift to Remember0
Cloud Adversarial Example Generation for Remote Sensing Image Classification0
Recovering Global Data Distribution Locally in Federated Learning0
ViTGuard: Attention-aware Detection against Adversarial Examples for Vision Transformer0
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Tensorflow Pretrained Models0
Data Pruning via Separability, Integrity, and Model Uncertainty-Aware Importance Sampling0
Improved Image Classification with Manifold Neural Networks0
LARE: Latent Augmentation using Regional Embedding with Vision-Language Model0
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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