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 21512175 of 10420 papers

TitleStatusHype
Continual atlas-based segmentation of prostate MRICode1
Learning Data Augmentation with Online Bilevel Optimization for Image ClassificationCode1
Contrastive Losses Are Natural Criteria for Unsupervised Video SummarizationCode1
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution EnvironmentsCode1
Contrastive Masked Autoencoders are Stronger Vision LearnersCode1
Continual Hippocampus Segmentation with TransformersCode1
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)Code1
Data Augmentation with norm-VAE for Unsupervised Domain AdaptationCode1
Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse DataCode1
Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy LabelsCode1
DataMUX: Data Multiplexing for Neural NetworksCode1
Generative Latent Implicit Conditional Optimization when Learning from Small SampleCode1
Continual Learning Using a Kernel-Based Method Over Foundation ModelsCode1
Data Feedback Loops: Model-driven Amplification of Dataset BiasesCode1
One-Class Risk Estimation for One-Class Hyperspectral Image ClassificationCode1
Learning Partial Correlation based Deep Visual Representation for Image ClassificationCode1
A General Regret Bound of Preconditioned Gradient Method for DNN TrainingCode1
IncepFormer: Efficient Inception Transformer with Pyramid Pooling for Semantic SegmentationCode1
Continual Learning with Scaled Gradient ProjectionCode1
Learning Semi-supervised Gaussian Mixture Models for Generalized Category DiscoveryCode1
Dataset Condensation with Contrastive SignalsCode1
Controllable Orthogonalization in Training DNNsCode1
Concept Learners for Few-Shot LearningCode1
Improving Visual Prompt Tuning for Self-supervised Vision TransformersCode1
Contrastive Learning of Medical Visual Representations from Paired Images and TextCode1
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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