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 17511760 of 10420 papers

TitleStatusHype
Practical No-box Adversarial Attacks against DNNsCode1
Robust Instance Segmentation through Reasoning about Multi-Object OcclusionCode1
Is normalization indispensable for training deep neural network?Code1
Disentangling Label Distribution for Long-tailed Visual RecognitionCode1
Auto Learning AttentionCode1
SuperLoss: A Generic Loss for Robust Curriculum LearningCode1
Attention-Gated Brain Propagation: How the brain can implement reward-based error backpropagationCode1
Co-Tuning for Transfer LearningCode1
Task-Oriented Feature DistillationCode1
HRN: A Holistic Approach to One Class LearningCode1
Show:102550
← PrevPage 176 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