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 3951–3975 of 10420 papers

TitleStatusHype
Enhancing Neural Training via a Correlated Dynamics Model—0
Unlocking Pre-trained Image Backbones for Semantic Image Synthesis—0
Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with OutliersCode0
I-CEE: Tailoring Explanations of Image Classification Models to User ExpertiseCode0
Unsupervised Segmentation of Colonoscopy Images—0
Optimizing Neural Networks with Gradient Lexicase SelectionCode0
Unveiling Spaces: Architecturally meaningful semantic descriptions from images of interior spaces—0
Delving Deeper Into Astromorphic Transformers—0
Operator-learning-inspired Modeling of Neural Ordinary Differential Equations—0
RetailKLIP : Finetuning OpenCLIP backbone using metric learning on a single GPU for Zero-shot retail product image classification—0
Learning Interpretable Queries for Explainable Image Classification with Information Pursuit—0
Adversarial Robustness on Image Classification with k-means—0
CLAF: Contrastive Learning with Augmented Features for Imbalanced Semi-Supervised Learning—0
Improved efficient capsule network for Kuzushiji-MNIST benchmark dataset classificationCode0
Class-Wise Buffer Management for Incremental Object Detection: An Effective Buffer Training Strategy—0
Semi-supervised Semantic Segmentation Meets Masked Modeling:Fine-grained Locality Learning Matters in Consistency Regularization—0
Weight subcloning: direct initialization of transformers using larger pretrained ones—0
On the Image-Based Detection of Tomato and Corn leaves Diseases : An in-depth comparative experiments—0
Learning Long Sequences in Spiking Neural Networks—0
Radio Signal Classification by Adversarially Robust Quantum Machine Learning—0
A Novel Image Classification Framework Based on Variational Quantum Algorithms—0
Contractive error feedback for gradient compression—0
CLASS-M: Adaptive stain separation-based contrastive learning with pseudo-labeling for histopathological image classificationCode0
TransMed: Large Language Models Enhance Vision Transformer for Biomedical Image Classification—0
Robust MRI Reconstruction by Smoothed Unrolling (SMUG)Code0
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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