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 21312140 of 10420 papers

TitleStatusHype
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image RecognitionCode1
CLIP-QDA: An Explainable Concept Bottleneck Model0
How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor0
Negotiated Representations to Prevent Forgetting in Machine Learning ApplicationsCode0
Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters0
Beyond Entropy: Style Transfer Guided Single Image Continual Test-Time Adaptation0
Utilizing Radiomic Feature Analysis For Automated MRI Keypoint Detection: Enhancing Graph Applications0
Adaptive Smooth Activation for Improved Disease Diagnosis and Organ Segmentation from Radiology Scans0
Rethinking Image Editing Detection in the Era of Generative AI Revolution0
Adaptive Early Exiting for Collaborative Inference over Noisy Wireless Channels0
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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