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 4476–4500 of 10420 papers

TitleStatusHype
Adaptive Early Exiting for Collaborative Inference over Noisy Wireless Channels—0
Image Classification for Snow Detection to Improve Pedestrian Safety—0
Image Classification of Grapevine Buds using Scale-Invariant Features Transform, Bag of Features and Support Vector Machines—0
Image Classification using Combination of Topological Features and Neural Networks—0
Image Colorization By Capsule Networks—0
Deep Hierarchical Machine: a Flexible Divide-and-Conquer Architecture—0
Deep Hashing: A Joint Approach for Image Signature Learning—0
A Web Page Classifier Library Based on Random Image Content Analysis Using Deep Learning—0
Image Classification at Supercomputer Scale—0
Image Classification Based on Quantum KNN Algorithm—0
A Weakly Supervised Fine Label Classifier Enhanced by Coarse Supervision—0
AMD: Automatic Multi-step Distillation of Large-scale Vision Models—0
Improving Shape Awareness and Interpretability in Deep Networks Using Geometric Moments—0
Deep Generative Modeling for Protein Design—0
Image Classification and Retrieval from User-Supplied Tags—0
Image classification based on support vector machine and the fusion of complementary features—0
Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks—0
Deep Gaussian Processes with Convolutional Kernels—0
CLIP Embeddings for AI-Generated Image Detection: A Few-Shot Study with Lightweight Classifier—0
A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning—0
Image BERT Pre-training with Online Tokenizer—0
Deep Fisher Networks for Large-Scale Image Classification—0
Deep FisherNet for Object Classification—0
Adaptive Deep Pyramid Matching for Remote Sensing Scene Classification—0
Deep Features for training Support Vector Machine—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