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 95019525 of 10420 papers

TitleStatusHype
DeepOBS: A Deep Learning Optimizer Benchmark SuiteCode0
Recombinator Networks: Learning Coarse-to-Fine Feature AggregationCode0
Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information EstimatorCode0
Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with OutliersCode0
Reconciliation of Statistical and Spatial Sparsity For Robust Image and Image-Set ClassificationCode0
NECOMIMI: Neural-Cognitive Multimodal EEG-informed Image Generation with Diffusion ModelsCode0
Needles in Haystacks: On Classifying Tiny Objects in Large ImagesCode0
Boosting Occluded Image Classification via Subspace Decomposition Based Estimation of Deep FeaturesCode0
Negative Evidence Matters in Interpretable Histology Image ClassificationCode0
Deep Object Co-segmentation via Spatial-Semantic Network ModulationCode0
Deep Neural Networks Motivated by Partial Differential EquationsCode0
Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label NoiseCode0
Knowledge Swapping via Learning and UnlearningCode0
Knowledge Transfer for Melanoma Screening with Deep LearningCode0
TAKT: Target-Aware Knowledge Transfer for Whole Slide Image ClassificationCode0
Boosting High Resolution Image Classification with Scaling-up TransformersCode0
Deep Neural Network Compression for Image Classification and Object DetectionCode0
Kolmogorov-Arnold Network AutoencodersCode0
Kolmogorov-Arnold Network for Satellite Image Classification in Remote SensingCode0
Negotiated Representations to Prevent Forgetting in Machine Learning ApplicationsCode0
Deep neural network based on F-neurons and its learningCode0
KPCA-CAM: Visual Explainability of Deep Computer Vision Models using Kernel PCACode0
KPL: Training-Free Medical Knowledge Mining of Vision-Language ModelsCode0
Krum Federated Chain (KFC): Using blockchain to defend against adversarial attacks in Federated LearningCode0
Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative PretrainingCode0
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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
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified