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 851875 of 10419 papers

TitleStatusHype
Class-Difficulty Based Methods for Long-Tailed Visual RecognitionCode1
Class Distance Weighted Cross-Entropy Loss for Ulcerative Colitis Severity EstimationCode1
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive LearningCode1
Feature Re-calibration based Multiple Instance Learning for Whole Slide Image ClassificationCode1
Clean-Label Backdoor Attacks on Video Recognition ModelsCode1
FedDefender: Backdoor Attack Defense in Federated LearningCode1
Optimized spiking neurons classify images with high accuracy through temporal coding with two spikesCode1
Class-Incremental Grouping Network for Continual Audio-Visual LearningCode1
A Comprehensive Approach to Unsupervised Embedding Learning based on AND AlgorithmCode1
CLCNet: Rethinking of Ensemble Modeling with Classification Confidence NetworkCode1
A Novel Approach for detecting Normal, COVID-19 and Pneumonia patient using only binary classifications from chest CT-ScansCode1
CLCC: Contrastive Learning for Color ConstancyCode1
Defending Against Unforeseen Failure Modes with Latent Adversarial TrainingCode1
CLIP4IDC: CLIP for Image Difference CaptioningCode1
Automatic Recognition of Abdominal Organs in Ultrasound Images based on Deep Neural Networks and K-Nearest-Neighbor ClassificationCode1
Adaptive and Background-Aware Vision Transformer for Real-Time UAV TrackingCode1
DeepViT: Towards Deeper Vision TransformerCode1
CLIP meets DINO for Tuning Zero-Shot Classifier using Unlabeled Image CollectionsCode1
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable PrototypesCode1
CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object NavigationCode1
Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision TasksCode1
FocusNet: Classifying Better by Focusing on Confusing ClassesCode1
CLR: Channel-wise Lightweight Reprogramming for Continual LearningCode1
Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoostCode1
Deep Transfer Learning for Land Use and Land Cover Classification: A Comparative StudyCode1
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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