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 35213530 of 10420 papers

TitleStatusHype
Immiscible Color Flows in Optimal Transport Networks for Image ClassificationCode0
Calibrated Top-1 Uncertainty estimates for classification by score based modelsCode0
Soft ascent-descent as a stable and flexible alternative to floodingCode0
Improving Classification Neural Networks by using Absolute activation function (MNIST/LeNET-5 example)Code0
CKD: Contrastive Knowledge Distillation from A Sample-wise PerspectiveCode0
Performance of GAN-based augmentation for deep learning COVID-19 image classificationCode0
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGACode0
ImageNet Classification with Deep Convolutional Neural NetworksCode0
ImageNot: A contrast with ImageNet preserves model rankingsCode0
Adaptive Cross-Modal Few-Shot LearningCode0
Show:102550
← PrevPage 353 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
10RevCol-HTop 1 Accuracy90Unverified