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 701725 of 10419 papers

TitleStatusHype
Attentive Weights Generation for Few Shot Learning via Information MaximizationCode1
Analysis and evaluation of Deep Learning based Super-Resolution algorithms to improve performance in Low-Resolution Face RecognitionCode1
Learning Loss for Active LearningCode1
Attribute Descent: Simulating Object-Centric Datasets on the Content Level and BeyondCode1
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean LabelCode1
BAGAN: Data Augmentation with Balancing GANCode1
Bag of Tricks for Image Classification with Convolutional Neural NetworksCode1
Automated Learning Rate Scheduler for Large-batch TrainingCode1
Balanced Contrastive Learning for Long-Tailed Visual RecognitionCode1
DIFFender: Diffusion-Based Adversarial Defense against Patch AttacksCode1
Adaptive Split-Fusion TransformerCode1
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate ShiftCode1
Balanced-MixUp for Highly Imbalanced Medical Image ClassificationCode1
Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine SynergyCode1
Decoupled Dynamic Filter NetworksCode1
Diffusion Mechanism in Residual Neural Network: Theory and ApplicationsCode1
DiG-IN: Diffusion Guidance for Investigating Networks -- Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual ExplanationsCode1
Deep Complex NetworksCode1
Deep Reinforcement Learning for Band Selection in Hyperspectral Image ClassificationCode1
Bayesian Neural Network Priors RevisitedCode1
Diagnosing Colorectal Polyps in the Wild with Capsule NetworksCode1
Bayesian continual learning and forgetting in neural networksCode1
DLME: Deep Local-flatness Manifold EmbeddingCode1
Analyzing Vision Transformers for Image Classification in Class Embedding SpaceCode1
Attention-Based Second-Order Pooling Network for Hyperspectral 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