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 881890 of 10420 papers

TitleStatusHype
Classification-Denoising Networks0
Rethinking VLMs and LLMs for Image Classification0
On Expert Estimation in Hierarchical Mixture of Experts: Beyond Softmax Gating Functions0
LoGra-Med: Long Context Multi-Graph Alignment for Medical Vision-Language Model0
Hard Negative Sample Mining for Whole Slide Image ClassificationCode0
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups0
Personalized Quantum Federated Learning for Privacy Image Classification0
SynCo: Synthetic Hard Negatives in Contrastive Learning for Better Unsupervised Visual RepresentationsCode0
BiSSL: Enhancing the Alignment Between Self-Supervised Pretraining and Downstream Fine-Tuning via Bilevel Optimization0
CTARR: A fast and robust method for identifying anatomical regions on CT images via atlas registrationCode0
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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