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
Balanced Contrastive Learning for Long-Tailed Visual RecognitionCode1
Disentangled Ontology Embedding for Zero-shot LearningCode1
Discriminator-free Unsupervised Domain Adaptation for Multi-label Image ClassificationCode1
Balanced Energy Regularization Loss for Out-of-distribution DetectionCode1
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal PerspectiveCode1
Disentangling Label Distribution for Long-tailed Visual RecognitionCode1
Adapting Grad-CAM for Embedding NetworksCode1
Discretization-Aware Architecture SearchCode1
Bag of Tricks for Image Classification with Convolutional Neural NetworksCode1
Algorithm-hardware Co-design for Deformable ConvolutionCode1
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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
10RevCol-HTop 1 Accuracy90Unverified