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 36413650 of 10420 papers

TitleStatusHype
Neural Dependencies Emerging from Learning Massive Categories0
Multi-Spectral Image Classification with Ultra-Lean Complex-Valued Models0
Modeling Hierarchical Structural Distance for Unsupervised Domain Adaptation0
Blind Knowledge Distillation for Robust Image ClassificationCode0
Plug and Play Active Learning for Object DetectionCode1
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image ClassificationCode1
R2-MLP: Round-Roll MLP for Multi-View 3D Object RecognitionCode0
Learning to Generate Image Embeddings with User-level Differential Privacy0
An Algorithm for Routing Vectors in Sequences0
Frozen Overparameterization: A Double Descent Perspective on Transfer Learning of Deep Neural Networks0
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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