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

Showing 751775 of 10419 papers

TitleStatusHype
CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAsCode1
Stateful ODE-Nets using Basis Function ExpansionsCode1
Addressing Failure Detection by Learning Model ConfidenceCode1
Data Augmentation with norm-VAE for Unsupervised Domain AdaptationCode1
Addressing Failure Prediction by Learning Model ConfidenceCode1
DGSSC: A Deep Generative Spectral-Spatial Classifier for Imbalanced Hyperspectral ImageryCode1
Understanding the Role of the Projector in Knowledge DistillationCode1
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image ClassificationCode1
An Efficient Spiking Neural Network for Recognizing Gestures with a DVS Camera on the Loihi Neuromorphic ProcessorCode1
Grafting Transformer on Automatically Designed Convolutional Neural Network for Hyperspectral Image ClassificationCode1
Differentiable Model Compression via Pseudo Quantization NoiseCode1
Differentiable Model Scaling using Differentiable TopkCode1
Extending global-local view alignment for self-supervised learning with remote sensing imageryCode1
Diffusion Mechanism in Residual Neural Network: Theory and ApplicationsCode1
An Empirical Investigation of Representation Learning for ImitationCode1
An Empirical Investigation of the Role of Pre-training in Lifelong LearningCode1
CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object NavigationCode1
Direct Differentiable Augmentation SearchCode1
A deep active learning system for species identification and counting in camera trap imagesCode1
Direct Parameterization of Lipschitz-Bounded Deep NetworksCode1
DISC: Learning From Noisy Labels via Dynamic Instance-Specific Selection and CorrectionCode1
DISCO: Adversarial Defense with Local Implicit FunctionsCode1
Discrimination-aware Network Pruning for Deep Model CompressionCode1
Discriminator-free Unsupervised Domain Adaptation for Multi-label Image ClassificationCode1
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODECode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified