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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7201–7225 of 10420 papers

TitleStatusHype
Adversarial Rain Attack and Defensive Deraining for DNN Perception—0
It's Not a Modality Gap: Characterizing and Addressing the Contrastive Gap—0
Layer-wise Relevance Propagation for Echo State Networks applied to Earth System Variability—0
Iterative Self-Learning: Semi-Supervised Improvement to Dataset Volumes and Model Accuracy—0
Iterative Quantum Feature Maps—0
Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification—0
Deep multi-class learning from label proportions—0
Band Attention Convolutional Networks For Hyperspectral Image Classification—0
OT-Transformer: A Continuous-time Transformer Architecture with Optimal Transport Regularization—0
Outliers resistant image classification by anomaly detection—0
Iterative Learning for Reliable Crowdsourcing Systems—0
Iterative collaborative routing among equivariant capsules for transformation-robust capsule networks—0
Out-of-Distribution Detection for Dermoscopic Image Classification—0
Out-of-distribution detection in satellite image classification—0
Deep Metric Learning for Few-Shot Image Classification: A Review of Recent Developments—0
Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays—0
Iterative Averaging in the Quest for Best Test Error—0
IT^3: Idempotent Test-Time Training—0
Deep Metric Learning and Image Classification with Nearest Neighbour Gaussian Kernels—0
Banana Sub-Family Classification and Quality Prediction using Computer Vision—0
A Multi-modal Approach to Single-modal Visual Place Classification—0
Is Pretraining Necessary for Hyperspectral Image Classification?—0
Overcoming label shift in targeted federated learning—0
DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network—0
Balancing the Causal Effects in Class-Incremental Learning—0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified