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 14511475 of 10419 papers

TitleStatusHype
Imbalanced Image Classification with Complement Cross EntropyCode1
CvT: Introducing Convolutions to Vision TransformersCode1
CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution LayersCode1
Improved Baselines with Momentum Contrastive LearningCode1
CheXFusion: Effective Fusion of Multi-View Features using Transformers for Long-Tailed Chest X-Ray ClassificationCode1
CHiLS: Zero-Shot Image Classification with Hierarchical Label SetsCode1
Improved Regularization and Robustness for Fine-tuning in Neural NetworksCode1
Improved Regularization of Convolutional Neural Networks with CutoutCode1
AdaScale SGD: A User-Friendly Algorithm for Distributed TrainingCode1
CHEX: CHannel EXploration for CNN Model CompressionCode1
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural NetworksCode1
Vision Transformers with Patch DiversificationCode1
Revisiting the Importance of Amplifying Bias for DebiasingCode1
Bias Loss for Mobile Neural NetworksCode1
Soft-Label Dataset Distillation and Text Dataset DistillationCode1
BiasPruner: Debiased Continual Learning for Medical Image ClassificationCode1
Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image ClassificationCode1
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image ClassificationCode1
Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide Image ClassificationCode1
Curriculum Temperature for Knowledge DistillationCode1
The MAMe Dataset: On the relevance of High Resolution and Variable Shape image propertiesCode1
Class-Difficulty Based Methods for Long-Tailed Visual RecognitionCode1
Object Segmentation Without Labels with Large-Scale Generative ModelsCode1
Improving the Computer-Aided Estimation of Ulcerative Colitis Severity According to Mayo Endoscopic Score by Using Regression-Based Deep LearningCode1
A General Regret Bound of Preconditioned Gradient Method for DNN TrainingCode1
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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