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 2901–2925 of 10420 papers

TitleStatusHype
Sharpend Cosine Similarity based Neural Network for Hyperspectral Image Classification—0
Knowledge Diffusion for DistillationCode1
clustering an african hairstyle dataset using pca and k-means—0
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial RobustnessCode0
Superpixelwise Low-Rank Approximation-Based Partial Label Learning for Hyperspectral Image ClassificationCode0
Image Classification of Stroke Blood Clot Origin using Deep Convolutional Neural Networks and Visual Transformers—0
SING: A Plug-and-Play DNN Learning TechniqueCode0
DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D Classification—0
Batch Model Consolidation: A Multi-Task Model Consolidation FrameworkCode0
Triplet Knowledge Distillation—0
Multi-scale Efficient Graph-Transformer for Whole Slide Image Classification—0
Image as First-Order Norm+Linear Autoregression: Unveiling Mathematical Invariance—0
Making Vision Transformers Truly Shift-Equivariant—0
Lightweight Learner for Shared Knowledge Lifelong LearningCode1
ISLE: An Intelligent Streaming Framework for High-Throughput AI Inference in Medical ImagingCode0
Dual Path Transformer with Partition Attention—0
NOVUM: Neural Object Volumes for Robust Object ClassificationCode0
Frequency maps reveal the correlation between Adversarial Attacks and Implicit BiasCode0
Training on Thin Air: Improve Image Classification with Generated DataCode1
Detection of Non-uniformity in Parameters for Magnetic Domain Pattern Generation by Machine Learning—0
SUVR: A Search-based Approach to Unsupervised Visual Representation Learning—0
IBCL: Zero-shot Model Generation for Task Trade-offs in Continual LearningCode0
Sorted Convolutional Network for Achieving Continuous Rotational Invariance—0
Federated Variational Inference: Towards Improved Personalization and Generalization—0
Enhancing Accuracy and Robustness through Adversarial Training in Class Incremental Continual 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
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