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 12311240 of 10420 papers

TitleStatusHype
Sphere2Vec: Multi-Scale Representation Learning over a Spherical Surface for Geospatial PredictionsCode1
Convolutional Xformers for VisionCode1
Revisiting Global Pooling through the Lens of Optimal TransportCode1
Adaptive DropBlock Enhanced Generative Adversarial Networks for Hyperspectral Image ClassificationCode1
Revisiting Weakly Supervised Pre-Training of Visual Perception ModelsCode1
PT4AL: Using Self-Supervised Pretext Tasks for Active LearningCode1
It's All in the Head: Representation Knowledge Distillation through Classifier SharingCode1
The CLEAR Benchmark: Continual LEArning on Real-World ImageryCode1
Glance and Focus Networks for Dynamic Visual RecognitionCode1
Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo ReplayCode1
Show:102550
← PrevPage 124 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
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