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 29312940 of 10420 papers

TitleStatusHype
Digital-SC: Digital Semantic Communication with Adaptive Network Split and Learned Non-Linear Quantization0
Detection of healthy and diseased crops in drone captured images using Deep LearningCode0
Feasibility of Transfer Learning: A Mathematical Framework0
Enhanced Meta Label Correction for Coping with Label CorruptionCode0
Uncertainty-based Detection of Adversarial Attacks in Semantic SegmentationCode0
Label Smarter, Not Harder: CleverLabel for Faster Annotation of Ambiguous Image Classification with Higher QualityCode0
WOT-Class: Weakly Supervised Open-world Text ClassificationCode0
Mapping Biological Neuron Dynamics into an Interpretable Two-layer Artificial Neural Network0
Chest X-ray Image Classification: A Causal Perspective0
STREAMLINE: Streaming Active Learning for Realistic Multi-Distributional SettingsCode0
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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