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 16011625 of 10420 papers

TitleStatusHype
Distilling Object Detectors via Decoupled FeaturesCode1
Distilling Large Vision-Language Model with Out-of-Distribution GeneralizabilityCode1
Distilling Visual Priors from Self-Supervised LearningCode1
Distribution Alignment: A Unified Framework for Long-tail Visual RecognitionCode1
M-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis TasksCode1
MV-Swin-T: Mammogram Classification with Multi-view Swin TransformerCode1
DiT: Self-supervised Pre-training for Document Image TransformerCode1
Diverse Branch Block: Building a Convolution as an Inception-like UnitCode1
Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task SamplingCode1
NegMerge: Consensual Weight Negation for Strong Machine UnlearningCode1
Divergences in Color Perception between Deep Neural Networks and HumansCode1
Net2Brain: A Toolbox to compare artificial vision models with human brain responsesCode1
Network Adjustment: Channel Search Guided by FLOPs Utilization RatioCode1
Network Quantization with Element-wise Gradient ScalingCode1
Few-shot Learning with Class-Covariance Metric for Hyperspectral Image ClassificationCode1
A New Semi-supervised Learning Benchmark for Classifying View and Diagnosing Aortic Stenosis from EchocardiogramsCode1
TransCenter: Transformers with Dense Representations for Multiple-Object TrackingCode1
Fcaformer: Forward Cross Attention in Hybrid Vision TransformerCode1
Cached Transformers: Improving Transformers with Differentiable Memory CacheCode1
DKDFN: Domain Knowledge-Guided deep collaborative fusion network for multimodal unitemporal remote sensing land cover classificationCode1
DLME: Deep Local-flatness Manifold EmbeddingCode1
DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical ImagesCode1
Class Adaptive Network CalibrationCode1
Do Deep Networks Transfer Invariances Across Classes?Code1
Channel Importance Matters in Few-Shot Image ClassificationCode1
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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