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 42014225 of 10420 papers

TitleStatusHype
Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution ShiftCode1
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image ClassificationCode1
On Leave-One-Out Conditional Mutual Information For Generalization0
Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image ClassificationCode0
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean LabelCode1
Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image ClassificationCode1
Improving Ensemble Distillation With Weight Averaging and Diversifying PerturbationCode0
Shifts 2.0: Extending The Dataset of Real Distributional ShiftsCode2
Learning Iterative Reasoning through Energy MinimizationCode1
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?Code1
FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image ClassificationCode1
Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature AlignmentCode1
Continual Learning with Transformers for Image Classification0
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid NetworkCode1
ZoDIAC: Zoneout Dropout Injection Attention CalculationCode0
Improved Text Classification via Test-Time Augmentation0
Compressing Features for Learning with Noisy LabelsCode1
Self-supervised Learning in Remote Sensing: A ReviewCode1
Thermodynamics-inspired Explanations of Artificial IntelligenceCode1
Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs For Medical Image Classification0
Kernel Attention Transformer (KAT) for Histopathology Whole Slide Image ClassificationCode1
Benchopt: Reproducible, efficient and collaborative optimization benchmarksCode4
Representative Teacher Keys for Knowledge Distillation Model Compression Based on Attention Mechanism for Image Classification0
Multi-view Feature Augmentation with Adaptive Class Activation Mapping0
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight ImportanceCode1
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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