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 2476–2500 of 10420 papers

TitleStatusHype
Dolphin: Closed-loop Open-ended Auto-research through Thinking, Practice, and Feedback—0
Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks—0
A Progressive Framework of Vision-language Knowledge Distillation and Alignment for Multilingual Scene—0
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation—0
Adversarial Robustness Assessment of NeuroEvolution Approaches—0
Adversarial Robustness Across Representation Spaces—0
A probabilistic patch based image representation using Conditional Random Field model for image classification—0
A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images—0
Coarse to Fine: Multi-label Image Classification with Global/Local Attention—0
CoAPT: Context Attribute words for Prompt Tuning—0
Forget the Learning Rate, Decay Loss—0
Domain2Vec: Deep Domain Generalization—0
A Privacy Preserving Method with a Random Orthogonal Matrix for ConvMixer Models—0
A concatenating framework of shortcut convolutional neural networks—0
CO2: Consistent Contrast for Unsupervised Visual Representation Learning—0
A privacy-preserving method using secret key for convolutional neural network-based speech classification—0
Does Saliency-Based Training bring Robustness for Deep Neural Networks in Image Classification?—0
CNN with large memory layers—0
A Priori Generalizability Estimate for a CNN—0
Adversarial Perturbations Against Deep Neural Networks for Malware Classification—0
CNNs with Multi-Level Attention for Domain Generalization—0
CNN: Single-label to Multi-label—0
A priori compression of convolutional neural networks for wave simulators—0
PreMix: Addressing Label Scarcity in Whole Slide Image Classification with Pre-trained Multiple Instance Learning Aggregators—0
Does Visual Pretraining Help End-to-End Reasoning?—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