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 26312640 of 10420 papers

TitleStatusHype
MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation0
Exploring the Sharpened Cosine Similarity0
On the unreasonable vulnerability of transformers for image restoration -- and an easy fix0
Overcoming Distribution Mismatch in Quantizing Image Super-Resolution NetworksCode0
Compact & Capable: Harnessing Graph Neural Networks and Edge Convolution for Medical Image Classification0
Maximal Independent Sets for Pooling in Graph Neural Networks0
Few-shot 1/a Anomalies Feedback : Damage Vision Mining Opportunity and Embedding Feature Imbalance0
Concept-based explainability for an EEG transformer modelCode0
Towards a Visual-Language Foundation Model for Computational Pathology0
An X3D Neural Network Analysis for Runner's Performance Assessment in a Wild Sporting Environment0
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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