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 4291–4300 of 10420 papers

TitleStatusHype
Specifying and Testing k-Safety Properties for Machine-Learning ModelsCode0
Efficient Human-in-the-loop System for Guiding DNNs AttentionCode0
Learning Task-Independent Game State Representations from Unlabeled Images—0
2nd Place Solution for ICCV 2021 VIPriors Image Classification Challenge: An Attract-and-Repulse Learning Approach—0
Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge DistillationCode0
Learning-Based Data Storage [Vision] (Technical Report)—0
Training Neural Networks using SAT solvers—0
Learning the Space of Deep ModelsCode0
Saccade Mechanisms for Image Classification, Object Detection and Tracking—0
Masked Autoencoders are Robust Data AugmentorsCode1
Show:102550
← PrevPage 430 of 1042Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10RevCol-HTop 1 Accuracy90—Unverified