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 10251–10300 of 10420 papers

TitleStatusHype
Explaining and Harnessing Adversarial ExamplesCode1
An Analysis of Unsupervised Pre-training in Light of Recent AdvancesCode0
Automatic Discovery and Optimization of Parts for Image Classification—0
Deep learning with Elastic Averaging SGDCode0
Compressing Deep Convolutional Networks using Vector Quantization—0
Fractional Max-PoolingCode0
Data Representation using the Weyl Transform—0
Sparse, guided feature connections in an Abstract Deep Network—0
Highly Efficient Forward and Backward Propagation of Convolutional Neural Networks for Pixelwise Classification—0
Object-centric Sampling for Fine-grained Image Classification—0
HyperSpectral classification with adaptively weighted L1-norm regularization and spatial postprocessing—0
Hashing on Nonlinear Manifolds—0
Predicting Useful Neighborhoods for Lazy Local Learning—0
Graph Clustering With Missing Data: Convex Algorithms and Analysis—0
Discriminative Unsupervised Feature Learning with Convolutional Neural NetworksCode0
Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces—0
Zeta Hull Pursuits: Learning Nonconvex Data Hulls—0
Self-Adaptable Templates for Feature Coding—0
Untangling Local and Global Deformations in Deep Convolutional Networks for Image Classification and Sliding Window Detection—0
The Treasure beneath Convolutional Layers: Cross-convolutional-layer Pooling for Image ClassificationCode0
Image Classification and Retrieval from User-Supplied Tags—0
Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors—0
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification—0
Do Convnets Learn Correspondence?—0
Generalized Adaptive Dictionary Learning via Domain Shift Minimization—0
A comparison of dense region detectors for image search and fine-grained classification—0
Remote sensing image classification exploiting multiple kernel learning—0
KCRC-LCD: Discriminative Kernel Collaborative Representation with Locality Constrained Dictionary for Visual Categorization—0
HD-CNN: Hierarchical Deep Convolutional Neural Network for Large Scale Visual RecognitionCode0
Term-Weighting Learning via Genetic Programming for Text Classification—0
Evaluation of Output Embeddings for Fine-Grained Image ClassificationCode0
Efficient multivariate sequence classification—0
Unsupervised Domain Adaptation by BackpropagationCode1
Deep Learning Representation using Autoencoder for 3D Shape Retrieval—0
Image Classification with A Deep Network Model based on Compressive Sensing—0
Do More Dropouts in Pool5 Feature Maps for Better Object Detection—0
Spatially-sparse convolutional neural networksCode0
Fast Low-rank Representation based Spatial Pyramid Matching for Image Classification—0
Deeply-Supervised NetsCode0
Going Deeper with ConvolutionsCode1
Compute Less to Get More: Using ORC to Improve Sparse Filtering—0
A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data—0
10,000+ Times Accelerated Robust Subset Selection (ARSS)—0
Very Deep Convolutional Networks for Large-Scale Image RecognitionCode1
Image Retrieval And Classification Using Local Feature Vectors—0
ImageNet Large Scale Visual Recognition ChallengeCode1
Comment on "Ensemble Projection for Semi-supervised Image Classification"—0
Sparse Graph-based Transduction for Image Classification—0
Label Consistent Fisher Vectors for Supervised Feature AggregationCode0
Hierarchical Adaptive Structural SVM for Domain Adaptation—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