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 6351–6400 of 10420 papers

TitleStatusHype
Identifying Misinformation from Website Screenshots—0
Learning image quality assessment by reinforcing task amenable data selection—0
Cross-modal Adversarial ReprogrammingCode1
OntoZSL: Ontology-enhanced Zero-shot LearningCode1
Naturalizing Neuromorphic Vision Event Streams Using GANs—0
Perceptually Constrained Adversarial Attacks—0
Multi-class Generative Adversarial Nets for Semi-supervised Image Classification—0
Segmenting two-dimensional structures with strided tensor networksCode0
Depthwise Separable Convolutions Allow for Fast and Memory-Efficient Spectral Normalization—0
Bayesian Neural Network Priors RevisitedCode1
A Large Batch Optimizer Reality Check: Traditional, Generic Optimizers Suffice Across Batch Sizes—0
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-TuningCode1
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text SupervisionCode2
High-Performance Large-Scale Image Recognition Without NormalizationCode1
Clusterability as an Alternative to Anchor Points When Learning with Noisy LabelsCode1
BRECQ: Pushing the Limit of Post-Training Quantization by Block ReconstructionCode1
Detecting Localized Adversarial Examples: A Generic Approach using Critical Region Analysis—0
Training Vision Transformers for Image RetrievalCode1
Flow-Mixup: Classifying Multi-labeled Medical Images with Corrupted Labels—0
Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural networkCode1
Negative Data AugmentationCode1
Distribution Adaptive INT8 Quantization for Training CNNs—0
DetCo: Unsupervised Contrastive Learning for Object DetectionCode1
WheaCha: A Method for Explaining the Predictions of Models of Code—0
Rationally Inattentive Utility Maximization for Interpretable Deep Image ClassificationCode0
Soccer Event Detection Using Deep Learning—0
Mitigating belief projection in explainable artificial intelligence via Bayesian TeachingCode0
Open-World Semi-Supervised LearningCode1
Sill-Net: Feature Augmentation with Separated Illumination RepresentationCode1
Weight Rescaling: Effective and Robust Regularization for Deep Neural Networks with Batch Normalization—0
Privacy-Preserving Video Classification with Convolutional Neural Networks—0
DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding AttacksCode1
Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders—0
Hyperspherical embedding for novel class classification—0
On the Reproducibility of Neural Network Predictions—0
A Supervised Segmentation Network for Hyperspectral Image Classification—0
Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse TrainingCode1
A Deeper Look into Convolutions via Eigenvalue-based PruningCode0
Mask Guided Attention For Fine-Grained Patchy Image ClassificationCode1
Deep reinforcement learning-based image classification achieves perfect testing set accuracy for MRI brain tumors with a training set of only 30 images—0
Multi-Instance Learning by Utilizing Structural Relationship among Instances—0
Deep CNNs for large scale species classification—0
Fixed-point Quantization of Convolutional Neural Networks for Quantized Inference on Embedded PlatformsCode1
Probabilistic Trust Intervals for Out of Distribution DetectionCode0
Generative Adversarial Minority Oversampling for Spectral-Spatial Hyperspectral Image ClassificationCode1
Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition—0
A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators—0
Few-shot Image Classification with Multi-Facet Prototypes—0
[Re] Can gradient clipping mitigate label noise?—0
[Re] A Reproduction of Ensemble Distribution DistillationCode0
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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