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 28212830 of 10420 papers

TitleStatusHype
LayerAct: Advanced Activation Mechanism for Robust Inference of CNNsCode0
Regularizing with Pseudo-Negatives for Continual Self-Supervised LearningCode0
Improving Visual Prompt Tuning for Self-supervised Vision TransformersCode1
Large-scale Dataset Pruning with Dynamic UncertaintyCode1
A Melting Pot of Evolution and Learning0
Multi-level Multiple Instance Learning with Transformer for Whole Slide Image ClassificationCode1
Revising deep learning methods in parking lot occupancy detectionCode1
GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation0
T-ADAF: Adaptive Data Augmentation Framework for Image Classification Network based on Tensor T-product Operator0
Towards Label-free Scene Understanding by Vision Foundation ModelsCode1
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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