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 2130 of 10419 papers

TitleStatusHype
OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic KernelsCode4
Kolmogorov-Arnold TransformerCode4
Wavelet Convolutions for Large Receptive FieldsCode4
Kolmogorov-Arnold Convolutions: Design Principles and Empirical StudiesCode4
MedMamba: Vision Mamba for Medical Image ClassificationCode4
Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like ArchitecturesCode4
Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision ApplicationsCode4
Catastrophic Forgetting in Deep Learning: A Comprehensive TaxonomyCode4
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment AnythingCode4
Efficient Post-training Quantization with FP8 FormatsCode4
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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