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 2601–2625 of 10420 papers

TitleStatusHype
Directional Gradient Projection for Robust Fine-Tuning of Foundation Models—0
TransMamba: Fast Universal Architecture Adaption from Transformers to Mamba—0
Steganographic Embeddings as an Effective Data AugmentationCode0
Quantum autoencoders for image classification—0
Reinforcement Learning for Ultrasound Image Analysis A Comprehensive Review of Advances and Applications—0
Stochastic Resonance Improves the Detection of Low Contrast Images in Deep Learning Models—0
Reliable Explainability of Deep Learning Spatial-Spectral Classifiers for Improved Semantic Segmentation in Autonomous Driving—0
RingFormer: Rethinking Recurrent Transformer with Adaptive Level Signals—0
Benchmarking MedMNIST dataset on real quantum hardware—0
When Segmentation Meets Hyperspectral Image: New Paradigm for Hyperspectral Image ClassificationCode0
Likelihood-Ratio Regularized Quantile Regression: Adapting Conformal Prediction to High-Dimensional Covariate Shifts—0
OCT Data is All You Need: How Vision Transformers with and without Pre-training Benefit Imaging—0
Leveraging Conditional Mutual Information to Improve Large Language Model Fine-Tuning For Classification—0
Simulations of Common Unsupervised Domain Adaptation Algorithms for Image ClassificationCode0
Compress image to patches for Vision TransformerCode0
On Space Folds of ReLU Neural Networks—0
Simplifying DINO via Coding Rate Regularization—0
SeWA: Selective Weight Average via Probabilistic Masking—0
Feature-based Graph Attention Networks Improve Online Continual Learning—0
Hierarchical Vision Transformer with Prototypes for Interpretable Medical Image Classification—0
Evaluating the Performance of TAAF for image classification modelsCode0
Knowledge Swapping via Learning and UnlearningCode0
From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics—0
Quaternion-Hadamard Network: A Novel Defense Against Adversarial Attacks with a New Dataset—0
Riemannian Complex Hermit Positive Definite Convolution Network for Polarimetric SAR Image Classification—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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 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