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 14511460 of 10420 papers

TitleStatusHype
Understanding and Improving Early Stopping for Learning with Noisy LabelsCode1
Benchmarking Knowledge-driven Zero-shot LearningCode1
Co^2L: Contrastive Continual LearningCode1
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic SparsityCode1
R-Drop: Regularized Dropout for Neural NetworksCode1
Multi-Compound Transformer for Accurate Biomedical Image SegmentationCode1
RAILS: A Robust Adversarial Immune-inspired Learning SystemCode1
Can An Image Classifier Suffice For Action Recognition?Code1
Spectral-Spatial Global Graph Reasoning for Hyperspectral Image ClassificationCode1
SITTA: Single Image Texture Translation for Data AugmentationCode1
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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