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 38313840 of 10420 papers

TitleStatusHype
Universal Adversarial Perturbations: Efficiency on a small image datasetCode0
Multi-Modal Fusion by Meta-InitializationCode0
Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap0
A Differentiable Distance Approximation for Fairer Image ClassificationCode0
Online Training Through Time for Spiking Neural NetworksCode1
Unsupervised RGB-to-Thermal Domain Adaptation via Multi-Domain Attention NetworkCode1
Improving Data-Efficient Fossil Segmentation via Model Editing0
Fast-ParC: Capturing Position Aware Global Feature for ConvNets and ViTs0
SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained ModelsCode1
Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide Image ClassificationCode1
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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