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 28512860 of 10420 papers

TitleStatusHype
Contextual Checkerboard Denoise -- A Novel Neural Network-Based Approach for Classification-Aware OCT Image DenoisingCode0
FairDD: Fair Dataset Distillation via Synchronized Matching0
ANDHRA Bandersnatch: Training Neural Networks to Predict Parallel RealitiesCode0
Sparse Attention Vectors: Generative Multimodal Model Features Are Discriminative Vision-Language Classifiers0
Controlling Participation in Federated Learning with FeedbackCode0
MVFormer: Diversifying Feature Normalization and Token Mixing for Efficient Vision Transformers0
Fall Leaf Adversarial Attack on Traffic Sign Classification0
Optimized Tradeoffs for Private Prediction with Majority Ensembling0
Pruning Deep Convolutional Neural Network Using Conditional Mutual Information0
KANs for Computer Vision: An Experimental Study0
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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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified