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 781790 of 10420 papers

TitleStatusHype
DeepMIM: Deep Supervision for Masked Image ModelingCode1
Bounding Boxes Are All We Need: Street View Image Classification via Context Encoding of Detected BuildingsCode1
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODECode1
Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz NetworksCode1
A Neural Dirichlet Process Mixture Model for Task-Free Continual LearningCode1
BRECQ: Pushing the Limit of Post-Training Quantization by Block ReconstructionCode1
Augmenting Convolutional networks with attention-based aggregationCode1
Efficient ResNets: Residual Network DesignCode1
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural NetworksCode1
Deep Multimodal Guidance for Medical Image ClassificationCode1
Show:102550
← PrevPage 79 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