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 5851–5875 of 10420 papers

TitleStatusHype
Learning to Teach—0
Learning to Reweight with Deep Interactions—0
Learning to Teach with Dynamic Loss Functions—0
Accelerated PDEs for Construction and Theoretical Analysis of an SGD Extension—0
Attending Category Disentangled Global Context for Image Classification—0
Margin-Based Regularization and Selective Sampling in Deep Neural Networks—0
GROOD: Gradient-Aware Out-of-Distribution Detection—0
Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks—0
A Hybrid Feature Fusion Deep Learning Framework for Leukemia Cancer Detection in Microscopic Blood Sample Using Gated Recurrent Unit and Uncertainty Quantification—0
How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability—0
Learning transformer-based heterogeneously salient graph representation for multimodal remote sensing image classification—0
Coverage Testing of Deep Learning Models using Dataset Characterization—0
flexgrid2vec: Learning Efficient Visual Representations Vectors—0
Learning Visual Conditioning Tokens to Correct Domain Shift for Fully Test-time Adaptation—0
A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification—0
Covariance-corrected Whitening Alleviates Network Degeneration on Imbalanced Classification—0
G-RepsNet: A Fast and General Construction of Equivariant Networks for Arbitrary Matrix Groups—0
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision—0
Continual Learning with Evolving Class Ontologies—0
Learning with convolution and pooling operations in kernel methods—0
Mapping Biological Neuron Dynamics into an Interpretable Two-layer Artificial Neural Network—0
Mapping Generative Models onto a Network of Digital Spiking Neurons—0
Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations—0
Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks—0
Greedy Policy Search: A Simple Baseline for Learnable Test-Time Augmentation—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