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 32013210 of 10420 papers

TitleStatusHype
DeepMIM: Deep Supervision for Masked Image ModelingCode1
Knowledge Distillation from Single to Multi Labels: an Empirical StudyCode0
SMUG: Towards robust MRI reconstruction by smoothed unrollingCode0
Is forgetting less a good inductive bias for forward transfer?0
A Contrastive Knowledge Transfer Framework for Model Compression and Transfer LearningCode0
Context Normalization Layer with Applications0
Adversarial Attacks to Direct Data-driven Control for Destabilization0
MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReIDCode1
FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised LearningCode1
The challenge of representation learning: Improved accuracy in deep vision models does not come with better predictions of perceptual similarity0
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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
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
10RevCol-HTop 1 Accuracy90Unverified