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 23112320 of 10420 papers

TitleStatusHype
Instilling Inductive Biases with SubnetworksCode0
United We Stand: Using Epoch-wise Agreement of Ensembles to Combat OverfitCode0
Transparent Anomaly Detection via Concept-based Explanations0
A Non-monotonic Smooth Activation Function0
RefConv: Re-parameterized Refocusing Convolution for Powerful ConvNetsCode1
Soft ascent-descent as a stable and flexible alternative to floodingCode0
A Survey of Graph and Attention Based Hyperspectral Image Classification Methods for Remote Sensing Data0
Real-Fake: Effective Training Data Synthesis Through Distribution MatchingCode1
Prior-Free Continual Learning with Unlabeled Data in the WildCode0
Explore the Effect of Data Selection on Poison Efficiency in Backdoor Attacks0
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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