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 951960 of 10420 papers

TitleStatusHype
DIFFender: Diffusion-Based Adversarial Defense against Patch AttacksCode1
Differentiable Top-k Classification LearningCode1
AutoSpeech: Neural Architecture Search for Speaker RecognitionCode1
Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy LabelsCode1
AASAE: Augmentation-Augmented Stochastic AutoencodersCode1
Controllable Orthogonalization in Training DNNsCode1
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image ClassificationCode1
GRNN: Generative Regression Neural Network -- A Data Leakage Attack for Federated LearningCode1
All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path AggregationCode1
AutoVP: An Automated Visual Prompting Framework and BenchmarkCode1
Show:102550
← PrevPage 96 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
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