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 2051–2100 of 10419 papers

TitleStatusHype
Transformers in Unsupervised Structure-from-MotionCode1
Operator-learning-inspired Modeling of Neural Ordinary Differential Equations—0
Catastrophic Forgetting in Deep Learning: A Comprehensive TaxonomyCode4
Semantic-Aware Autoregressive Image Modeling for Visual Representation LearningCode1
RetailKLIP : Finetuning OpenCLIP backbone using metric learning on a single GPU for Zero-shot retail product image classification—0
Improved efficient capsule network for Kuzushiji-MNIST benchmark dataset classificationCode0
SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation ImageryCode3
Gradient-based Parameter Selection for Efficient Fine-TuningCode1
A Survey of Classical And Quantum Sequence ModelsCode1
Adversarial Robustness on Image Classification with k-means—0
Improving Cross-domain Few-shot Classification with Multilayer PerceptronCode1
CLAF: Contrastive Learning with Augmented Features for Imbalanced Semi-Supervised Learning—0
Learning Long Sequences in Spiking Neural Networks—0
Weight subcloning: direct initialization of transformers using larger pretrained ones—0
CLIP-guided Federated Learning on Heterogeneous and Long-Tailed DataCode1
Class-Wise Buffer Management for Incremental Object Detection: An Effective Buffer Training Strategy—0
Semi-supervised Semantic Segmentation Meets Masked Modeling:Fine-grained Locality Learning Matters in Consistency Regularization—0
On the Image-Based Detection of Tomato and Corn leaves Diseases : An in-depth comparative experiments—0
Agent Attention: On the Integration of Softmax and Linear AttentionCode2
Contractive error feedback for gradient compression—0
Radio Signal Classification by Adversarially Robust Quantum Machine Learning—0
A Novel Image Classification Framework Based on Variational Quantum Algorithms—0
Building Universal Foundation Models for Medical Image Analysis with Spatially Adaptive NetworksCode1
Robust MRI Reconstruction by Smoothed Unrolling (SMUG)Code0
TransMed: Large Language Models Enhance Vision Transformer for Biomedical Image Classification—0
CLASS-M: Adaptive stain separation-based contrastive learning with pseudo-labeling for histopathological image classificationCode0
Language-Guided Transformer for Federated Multi-Label ClassificationCode1
Medical Image Classification Using Transfer Learning and Chaos Game Optimization on the Internet of Medical Things—0
MS-Twins: Multi-Scale Deep Self-Attention Networks for Medical Image Segmentation—0
MaxQ: Multi-Axis Query for N:M Sparsity NetworkCode1
Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment—0
RAFIC: Retrieval-Augmented Few-shot Image ClassificationCode0
Exploiting Label Skews in Federated Learning with Model ConcatenationCode1
Revisiting the Role of Label Smoothing in Enhanced Text Sentiment Classification—0
QuickQuakeBuildings: Post-earthquake SAR-Optical Dataset for Quick Damaged-building DetectionCode1
Initialization Matters for Adversarial Transfer LearningCode0
TALDS-Net: Task-Aware Adaptive Local Descriptors Selection for Few-shot Image Classification—0
Shapley Values-enabled Progressive Pseudo Bag Augmentation for Whole Slide Image ClassificationCode1
Subject-Based Domain Adaptation for Facial Expression RecognitionCode0
Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering ApproachCode0
Human-in-the-Loop Visual Re-ID for Population Size EstimationCode0
Annotation-Free Group Robustness via Loss-Based Resampling—0
Scientific Preparation for CSST: Classification of Galaxy and Nebula/Star Cluster Based on Deep Learning—0
An adversarial attack approach for eXplainable AI evaluation on deepfake detection modelsCode0
Cross-Modal Alternating Learning with Task-Aware Representations for Continual LearningCode0
Transferable Candidate Proposal with Bounded UncertaintyCode0
Graph Convolutions Enrich the Self-Attention in Transformers!Code1
Large Language Models are Good Prompt Learners for Low-Shot Image ClassificationCode1
FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning—0
Text as Image: Learning Transferable Adapter for Multi-Label Classification—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