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 2001–2025 of 10420 papers

TitleStatusHype
Bayesian Exploration of Pre-trained Models for Low-shot Image Classification—0
Transductive Zero-Shot and Few-Shot CLIPCode1
PSDPM: Prototype-based Secondary Discriminative Pixels Mining for Weakly Supervised Semantic SegmentationCode0
Not All Classes Stand on Same Embeddings: Calibrating a Semantic Distance with Metric Tensor—0
DiG-IN: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual ExplanationsCode1
Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine LearningCode0
In-distribution Public Data Synthesis with Diffusion Models for Differentially Private Image ClassificationCode0
Logarithmic Lenses: Exploring Log RGB Data for Image Classification—0
OmniVec2 - A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning—0
Self-supervised learning for skin cancer diagnosis with limited training dataCode0
MultiFusionNet: Multilayer Multimodal Fusion of Deep Neural Networks for Chest X-Ray Image Classification—0
Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge GraphsCode1
SSL-OTA: Unveiling Backdoor Threats in Self-Supervised Learning for Object Detection—0
Pushing Boundaries: Exploring Zero Shot Object Classification with Large Multimodal Models—0
Learning Vision from Models Rivals Learning Vision from DataCode2
Adversarial Attacks on Image Classification Models: Analysis and Defense—0
RL-LOGO: Deep Reinforcement Learning Localization for Logo Recognition—0
Replica Tree-based Federated Learning using Limited DataCode0
MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile DevicesCode3
Gemini Pro Defeated by GPT-4V: Evidence from Education—0
Domain Generalization with Vital Phase AugmentationCode0
Sorting of Smartphone Components for Recycling Through Convolutional Neural Networks—0
State-of-the-Art in Nudity Classification: A Comparative AnalysisCode2
Error-free Training for Artificial Neural NetworkCode0
On the Promises and Challenges of Multimodal Foundation Models for Geographical, Environmental, Agricultural, and Urban Planning Applications—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