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 7451–7475 of 10420 papers

TitleStatusHype
An Algorithm for Out-Of-Distribution Attack to Neural Network EncoderCode0
Deep Collective Learning: Learning Optimal Inputs and Weights Jointly in Deep Neural Networks—0
Eating Habits Discovery in Egocentric Photo-streams—0
Unsupervised Image Classification Through Time-Multiplexed Photonic Multi-Layer Spiking Convolutional Neural Network—0
Feature Fusion via Multiresolution Compressive Measurement Matrix Analysis For Spectral Image ClassificationCode0
Classifying the Equation of State from Rotating Core Collapse Gravitational Waves with Deep Learning—0
Ensemble learning of diffractive optical networks—0
Constrained Labeling for Weakly Supervised LearningCode0
ResNet-like Architecture with Low Hardware RequirementsCode0
One-bit Supervision for Image ClassificationCode0
Adaptive Convolution Kernel for Artificial Neural NetworksCode0
PolSAR Image Classification Based on Robust Low-Rank Feature Extraction and Markov Random Field—0
Margin-Based Regularization and Selective Sampling in Deep Neural Networks—0
Semi-supervised dictionary learning with graph regularization and active pointsCode0
An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks—0
QuantNet: Learning to Quantize by Learning within Fully Differentiable Framework—0
Prune Responsibly—0
Learning Shape Features and Abstractions in 3D Convolutional Neural Networks for Detecting Alzheimer's Disease—0
Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification—0
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective—0
TanhSoft -- a family of activation functions combining Tanh and Softplus—0
Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning—0
Black Box to White Box: Discover Model Characteristics Based on Strategic Probing—0
How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks—0
PSO-PS: Parameter Synchronization with Particle Swarm Optimization for Distributed Training of Deep Neural Networks—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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified