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 551560 of 10419 papers

TitleStatusHype
Directional Label Diffusion Model for Learning from Noisy LabelsCode0
Star with Bilinear Mapping0
MExD: An Expert-Infused Diffusion Model for Whole-Slide Image Classification0
DefMamba: Deformable Visual State Space Model0
A Novel Approach using CapsNet and Deep Belief Network for Detection and Identification of Oral Leukopenia0
Ensuring superior learning outcomes and data security for authorized learner0
ACIL: Active Class Incremental Learning for Image Classification0
Uncertainty-Aware Out-of-Distribution Detection with Gaussian Processes0
FPGA-based Acceleration of Neural Network for Image Classification using Vitis AI0
Hilbert Curve Based Molecular Sequence Analysis0
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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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified