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 681690 of 10419 papers

TitleStatusHype
Pruning Deep Convolutional Neural Network Using Conditional Mutual Information0
Optimized Tradeoffs for Private Prediction with Majority Ensembling0
Vision Mamba Distillation for Low-resolution Fine-grained Image ClassificationCode1
KANs for Computer Vision: An Experimental Study0
Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data0
Task Singular Vectors: Reducing Task Interference in Model MergingCode2
An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models0
CoA: Chain-of-Action for Generative Semantic LabelsCode0
SpikeAtConv: An Integrated Spiking-Convolutional Attention Architecture for Energy-Efficient Neuromorphic Vision Processing0
TinyViM: Frequency Decoupling for Tiny Hybrid Vision MambaCode2
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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