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

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Showing 4151–4200 of 10420 papers

TitleStatusHype
Tree Structure-Aware Few-Shot Image Classification via Hierarchical AggregationCode1
Learning Discriminative Representation via Metric Learning for Imbalanced Medical Image Classification—0
Rich Feature Distillation with Feature Affinity Module for Efficient Image Dehazing—0
Is one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimationCode0
Image and Model Transformation with Secret Key for Vision Transformer—0
Regression Metric Loss: Learning a Semantic Representation Space for Medical ImagesCode1
Adversarial Robustness Assessment of NeuroEvolution Approaches—0
LightViT: Towards Light-Weight Convolution-Free Vision TransformersCode1
UniNet: Unified Architecture Search with Convolution, Transformer, and MLPCode1
Next-ViT: Next Generation Vision Transformer for Efficient Deployment in Realistic Industrial ScenariosCode2
RE-Tagger: A light-weight Real-Estate Image Classifier—0
Backdoor Attacks on Crowd CountingCode1
Contrastive Deep SupervisionCode1
Look-ups are not (yet) all you need for deep learning inferenceCode0
Adversarial Style Augmentation for Domain Generalized Urban-Scene SegmentationCode0
PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification—0
Adaptive Fine-Grained Predicates Learning for Scene Graph Generation—0
Wave-ViT: Unifying Wavelet and Transformers for Visual Representation LearningCode2
Facilitated machine learning for image-based fruit quality assessmentCode0
Rethinking Persistent Homology for Visual Recognition—0
SiaTrans: Siamese Transformer Network for RGB-D Salient Object Detection with Depth Image Classification—0
Towards a More Rigorous Science of Blindspot Discovery in Image Classification ModelsCode1
Combining Deep Learning with Good Old-Fashioned Machine Learning—0
Guiding the retraining of convolutional neural networks against adversarial inputs—0
Pixel-level Correspondence for Self-Supervised Learning from Video—0
On the Subspace Structure of Gradient-Based Meta-Learning—0
An Embedding-Dynamic Approach to Self-supervised Learning—0
Calibrate to InterpretCode0
DLME: Deep Local-flatness Manifold EmbeddingCode1
Improving Few-Shot Image Classification Using Machine- and User-Generated Natural Language Descriptions—0
A Deep Model for Partial Multi-Label Image Classification with Curriculum Based Disambiguation—0
L_2BN: Enhancing Batch Normalization by Equalizing the L_2 Norms of Features—0
Generalization to translation shifts: a study in architectures and augmentations—0
CNN-based Local Vision Transformer for COVID-19 Diagnosis—0
Predicting Out-of-Domain Generalization with Neighborhood Invariance—0
ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image ClassificationCode1
Understanding and Improving Group NormalizationCode0
ST-CoNAL: Consistency-Based Acquisition Criterion Using Temporal Self-Ensemble for Active Learning—0
Vision-and-Language PretrainingCode0
PatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the Patch—0
Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation ModelsCode0
CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN ExecutionCode1
FlowNAS: Neural Architecture Search for Optical Flow EstimationCode1
Efficient Lung Cancer Image Classification and Segmentation Algorithm Based on Improved Swin Transformer—0
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot LearningCode1
Portuguese Man-of-War Image Classification with Convolutional Neural Networks—0
Saliency-Regularized Deep Multi-Task LearningCode1
Can Language Understand Depth?Code1
NP-Match: When Neural Processes meet Semi-Supervised LearningCode1
DecisioNet: A Binary-Tree Structured Neural NetworkCode0
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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