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 341350 of 10419 papers

TitleStatusHype
AASAE: Augmentation-Augmented Stochastic AutoencodersCode1
A Conservative Approach for Unbiased Learning on Unknown BiasesCode1
Class-Balanced Active Learning for Image ClassificationCode1
Class-Aware Contrastive Semi-Supervised LearningCode1
Class Adaptive Network CalibrationCode1
Class-Aware Patch Embedding Adaptation for Few-Shot Image ClassificationCode1
Class-Balanced Distillation for Long-Tailed Visual RecognitionCode1
CHiLS: Zero-Shot Image Classification with Hierarchical Label SetsCode1
CheXWorld: Exploring Image World Modeling for Radiograph Representation LearningCode1
CHEX: CHannel EXploration for CNN Model CompressionCode1
Show:102550
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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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 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