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 5276–5300 of 10420 papers

TitleStatusHype
End-to-End Optimization of JPEG-Based Deep Learning Process for Image Classification—0
End-to-End Kernel Learning with Supervised Convolutional Kernel Networks—0
End-to-End Anti-Backdoor Learning on Images and Time Series—0
Endoscopy Classification Model Using Swin Transformer and Saliency Map—0
A Novel Vision Transformer with Residual in Self-attention for Biomedical Image Classification—0
Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors—0
Encoding Hierarchical Information in Neural Networks helps in Subpopulation Shift—0
Encoders and Ensembles for Task-Free Continual Learning—0
Class Attention to Regions of Lesion for Imbalanced Medical Image Recognition—0
A Novel Time Series-to-Image Encoding Approach for Weather Phenomena Classification—0
Encoder Based Lifelong Learning—0
Class-agnostic Object Detection—0
EncodeNet: A Framework for Boosting DNN Accuracy with Entropy-driven Generalized Converting Autoencoder—0
A novel statistical metric learning for hyperspectral image classification—0
Adversarial Attacks on Image Classification Models: Analysis and Defense—0
A Comprehensive Review of Generative AI in Healthcare—0
Enabling Small Models for Zero-Shot Selection and Reuse through Model Label Learning—0
Enabling Efficient Processing of Spiking Neural Networks with On-Chip Learning on Commodity Neuromorphic Processors for Edge AI Systems—0
Enabling Deep Learning on Edge Devices through Filter Pruning and Knowledge Transfer—0
CLAMP: Contrastive LAnguage Model Prompt-tuning—0
A novel spatial-frequency domain network for zero-shot incremental learning—0
Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification—0
CLAF: Contrastive Learning with Augmented Features for Imbalanced Semi-Supervised Learning—0
Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution—0
A Novel Solution of an Elastic Net Regularization for Dementia Knowledge Discovery using Deep 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
10RevCol-HTop 1 Accuracy90—Unverified