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 951960 of 10420 papers

TitleStatusHype
TokenMixup: Efficient Attention-guided Token-level Data Augmentation for TransformersCode1
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional NetworksCode1
SageMix: Saliency-Guided Mixup for Point CloudsCode1
WaveMix-Lite: A Resource-efficient Neural Network for Image AnalysisCode1
Latency-aware Spatial-wise Dynamic NetworksCode1
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation LearningCode1
ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document UnderstandingCode1
Token-Label Alignment for Vision TransformersCode1
OPERA: Omni-Supervised Representation Learning with Hierarchical SupervisionsCode1
Understanding the Failure of Batch Normalization for Transformers in NLPCode1
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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