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 22612270 of 10420 papers

TitleStatusHype
A self-interpretable module for deep image classification on small dataCode0
Intra-class Patch Swap for Self-DistillationCode0
A Group-Theoretic Framework for Data AugmentationCode0
A second-order-like optimizer with adaptive gradient scaling for deep learningCode0
Compressing Vision Transformers for Low-Resource Visual LearningCode0
Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual ClassificationCode0
Invariant backpropagation: how to train a transformation-invariant neural networkCode0
A Scalable Quantum Non-local Neural Network for Image ClassificationCode0
Compressing Deep CNNs using Basis Representation and Spectral Fine-tuningCode0
Compress image to patches for Vision TransformerCode0
Show:102550
← PrevPage 227 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
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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified