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 110 of 10419 papers

TitleStatusHype
Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image AnalysisCode7
Visual-RFT: Visual Reinforcement Fine-TuningCode7
AutoTrain: No-code training for state-of-the-art modelsCode7
MambaVision: A Hybrid Mamba-Transformer Vision BackboneCode7
MambaOut: Do We Really Need Mamba for Vision?Code7
Mini-Gemini: Mining the Potential of Multi-modality Vision Language ModelsCode7
MiniGPT-v2: large language model as a unified interface for vision-language multi-task learningCode7
Improved Baselines with Visual Instruction TuningCode6
Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and ResolutionCode6
Visual Instruction TuningCode6
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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