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 14311440 of 10420 papers

TitleStatusHype
Cached Transformers: Improving Transformers with Differentiable Memory CacheCode1
Active Learning for Convolutional Neural Networks: A Core-Set ApproachCode1
Fcaformer: Forward Cross Attention in Hybrid Vision TransformerCode1
Evolutionary Neural AutoML for Deep LearningCode1
DiG-IN: Diffusion Guidance for Investigating Networks -- Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual ExplanationsCode1
DC3DCD: unsupervised learning for multiclass 3D point cloud change detectionCode1
Benchmarking Knowledge-driven Zero-shot LearningCode1
Beyond Categorical Label Representations for Image ClassificationCode1
A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled SamplesCode1
Evaluation of Deep Neural Network Domain Adaptation Techniques for Image RecognitionCode1
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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