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 36813690 of 10420 papers

TitleStatusHype
SynerMix: Synergistic Mixup Solution for Enhanced Intra-Class Cohesion and Inter-Class Separability in Image ClassificationCode0
Tensor network compressibility of convolutional models0
LayoutLLM: Large Language Model Instruction Tuning for Visually Rich Document Understanding0
Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations0
Building Optimal Neural Architectures using Interpretable KnowledgeCode0
Bridge the Modality and Capability Gaps in Vision-Language Model Selection0
Leveraging feature communication in federated learning for remote sensing image classification0
SEVEN: Pruning Transformer Model by Reserving SentinelsCode0
LUWA Dataset: Learning Lithic Use-Wear Analysis on Microscopic Images0
Prompt-Guided Adaptive Model Transformation for Whole Slide Image Classification0
Show:102550
← PrevPage 369 of 1042Next →

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