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 33513360 of 10420 papers

TitleStatusHype
SCALES: Boost Binary Neural Network for Image Super-Resolution with Efficient Scalings0
Differentiable Channel Sparsity Search via Weight Sharing within Filters0
Anchor-based Nearest Class Mean Loss for Convolutional Neural Networks0
ECG Arrhythmia Classification Using Transfer Learning from 2-Dimensional Deep CNN Features0
ECO: Ensembling Context Optimization for Vision-Language Models0
Category Disentangled Context: Turning Category-irrelevant Features Into Treasures0
Differentiable Architecture Compression0
L_2BN: Enhancing Batch Normalization by Equalizing the L_2 Norms of Features0
Bio-inspired learnable divisive normalization for ANNs0
A Closer Look at Personalization in Federated Image Classification0
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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