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 13261350 of 10420 papers

TitleStatusHype
Contextual Transformer Networks for Visual RecognitionCode1
Ensembling with Deep Generative ViewsCode1
Boosting the Adversarial Transferability of Surrogate Models with Dark KnowledgeCode1
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean LabelCode1
Hamiltonian Deep Neural Networks Guaranteeing Non-vanishing Gradients by DesignCode1
Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse DataCode1
Continual Hippocampus Segmentation with TransformersCode1
Hard Sample Aware Noise Robust Learning for Histopathology Image ClassificationCode1
BAGAN: Data Augmentation with Balancing GANCode1
Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modelingCode1
A survey on attention mechanisms for medical applications: are we moving towards better algorithms?Code1
Bag of Tricks for Image Classification with Convolutional Neural NetworksCode1
Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing SystemsCode1
Emerging Properties in Self-Supervised Vision TransformersCode1
Continual Learning with Scaled Gradient ProjectionCode1
Balanced Contrastive Learning for Long-Tailed Visual RecognitionCode1
Balanced Energy Regularization Loss for Out-of-distribution DetectionCode1
Contrastive Learning Improves Model Robustness Under Label NoiseCode1
ELSA: Enhanced Local Self-Attention for Vision TransformerCode1
Hire-MLP: Vision MLP via Hierarchical RearrangementCode1
Balanced-MixUp for Highly Imbalanced Medical Image ClassificationCode1
Boosting Multi-Label Image Classification with Complementary Parallel Self-DistillationCode1
HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image ClassificationCode1
How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?Code1
EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring Using Atrous Convolutional Feature FusionCode1
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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