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 311320 of 10419 papers

TitleStatusHype
Big Transfer (BiT): General Visual Representation LearningCode2
LayoutLM: Pre-training of Text and Layout for Document Image UnderstandingCode2
A Survey on Mixup Augmentations and BeyondCode2
Learning Efficient Convolutional Networks through Network SlimmingCode2
Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality InversionCode2
LibFewShot: A Comprehensive Library for Few-shot LearningCode2
CheXWorld: Exploring Image World Modeling for Radiograph Representation LearningCode1
CheXFusion: Effective Fusion of Multi-View Features using Transformers for Long-Tailed Chest X-Ray ClassificationCode1
CHiLS: Zero-Shot Image Classification with Hierarchical Label SetsCode1
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image ClassificationCode1
Show:102550
← PrevPage 32 of 1042Next →

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