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 27312740 of 10420 papers

TitleStatusHype
Forward-Forward Algorithm for Hyperspectral Image Classification: A Preliminary Study0
Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter SamplerCode0
More for Less: Compact Convolutional Transformers Enable Robust Medical Image Classification with Limited Data0
MobileViG: Graph-Based Sparse Attention for Mobile Vision ApplicationsCode1
Single-Stage Heavy-Tailed Food Classification0
Vision Through the Veil: Differential Privacy in Federated Learning for Medical Image Classification0
Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial PredictionsCode1
Designing Stable Neural Networks using Convex Analysis and ODEsCode0
PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and ClassificationCode0
CLIPAG: Towards Generator-Free Text-to-Image Generation0
Show:102550
← PrevPage 274 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