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 11511175 of 10420 papers

TitleStatusHype
CHEX: CHannel EXploration for CNN Model CompressionCode1
Parameter-efficient Model Adaptation for Vision TransformersCode1
VGGIN-Net: Deep Transfer Network for Imbalanced Breast Cancer DatasetCode1
CNN Filter DB: An Empirical Investigation of Trained Convolutional FiltersCode1
Nested Collaborative Learning for Long-Tailed Visual RecognitionCode1
A Novel Approach for detecting Normal, COVID-19 and Pneumonia patient using only binary classifications from chest CT-ScansCode1
Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language ModelCode1
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization PerspectiveCode1
Knowledge Mining with Scene Text for Fine-Grained RecognitionCode1
Uncertainty-aware Contrastive Distillation for Incremental Semantic SegmentationCode1
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network CalibrationCode1
Moving Window Regression: A Novel Approach to Ordinal RegressionCode1
Semisupervised Cross-scale Graph Prototypical Network for Hyperspectral Image ClassificationCode1
PaCa-ViT: Learning Patch-to-Cluster Attention in Vision TransformersCode1
Improving Generalization in Federated Learning by Seeking Flat MinimaCode1
DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image ClassificationCode1
FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and CorrectionCode1
Test-time Adaptation with Slot-Centric ModelsCode1
ViM: Out-Of-Distribution with Virtual-logit MatchingCode1
CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object NavigationCode1
Do Deep Networks Transfer Invariances Across Classes?Code1
DocXClassifier: High Performance Explainable Deep Network for Document Image ClassificationCode1
DATA: Domain-Aware and Task-Aware Self-supervised LearningCode1
Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?Code1
Open Set Recognition using Vision Transformer with an Additional Detection HeadCode1
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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