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 10311040 of 10420 papers

TitleStatusHype
LightViT: Towards Light-Weight Convolution-Free Vision TransformersCode1
Backdoor Attacks on Crowd CountingCode1
UniNet: Unified Architecture Search with Convolution, Transformer, and MLPCode1
Towards a More Rigorous Science of Blindspot Discovery in Image Classification ModelsCode1
DLME: Deep Local-flatness Manifold EmbeddingCode1
ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image ClassificationCode1
CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN ExecutionCode1
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot LearningCode1
FlowNAS: Neural Architecture Search for Optical Flow EstimationCode1
Can Language Understand Depth?Code1
Show:102550
← PrevPage 104 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