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 23412350 of 10420 papers

TitleStatusHype
Comparing LBP, HOG and Deep Features for Classification of Histopathology Images0
Understanding the efficacy, reliability and resiliency of computer vision techniques for malware detection and future research directions0
DISCO: Distributed Inference with Sparse Communications0
Comparing concepts of quantum and classical neural network models for image classification task0
Arguments for the Unsuitability of Convolutional Neural Networks for Non--Local Tasks0
Compare and Contrast: Learning Prominent Visual Differences0
Comparator Networks0
A fast and Accurate Similarity-constrained Subspace Clustering Framework for Unsupervised Hyperspectral Image Classification0
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks0
Comparative Study on Generative Adversarial Networks0
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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
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