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 35513560 of 10420 papers

TitleStatusHype
Uncertainty-aware self-training with expectation maximization basis transformation0
SOAR: Advancements in Small Body Object Detection for Aerial Imagery Using State Space Models and Programmable Gradients0
Improved and Explainable Cervical Cancer Classification using Ensemble Pooling of Block Fused Descriptors0
Data Augmentation Policy Search for Long-Term Forecasting0
Variational Neuron Shifting for Few-Shot Image Classification Across Domains0
Let's Focus: Focused Backdoor Attack against Federated Transfer Learning0
Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair0
Ta-Adapter: Enhancing few-shot CLIP with task-aware encoders0
Implicit Generative Prior for Bayesian Neural NetworksCode0
A Method of Moments Embedding Constraint and its Application to Semi-Supervised LearningCode0
Show:102550
← PrevPage 356 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
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified