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 27912800 of 10420 papers

TitleStatusHype
Efficient Scale-Permuted Backbone with Learned Resource Distribution0
An OpenCL(TM) Deep Learning Accelerator on Arria 100
A Non-Technical Survey on Deep Convolutional Neural Network Architectures0
Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints0
CE-Dedup: Cost-Effective Convolutional Neural Nets Training based on Image Deduplication0
A Non-monotonic Smooth Activation Function0
Adv-Bot: Realistic Adversarial Botnet Attacks against Network Intrusion Detection Systems0
CEC-CNN: A Consecutive Expansion-Contraction Convolutional Network for Very Small Resolution Medical Image Classification0
A non-discriminatory approach to ethical deep learning0
A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification0
Show:102550
← PrevPage 280 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