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 3451–3500 of 10419 papers

TitleStatusHype
2-speed network ensemble for efficient classification of incremental land-use/land-cover satellite image chips—0
Efficient multivariate sequence classification—0
Factorized Higher-Order CNNs with an Application to Spatio-Temporal Emotion Estimation—0
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray—0
FedGEMS: Federated Learning of Larger Server Models via Selective Knowledge Fusion—0
FedGSCA: Medical Federated Learning with Global Sample Selector and Client Adaptive Adjuster under Label Noise—0
Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection—0
Efficient Neural Architecture Transformation Search in Channel-Level for Object Detection—0
Efficient Neural Network Training via Subset Pretraining—0
Efficient Neural Vision Systems Based on Convolutional Image Acquisition—0
Efficient non-uniform quantizer for quantized neural network targeting reconfigurable hardware—0
Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning—0
Binarizing by Classification: Is soft function really necessary?—0
Diagnostic Text-guided Representation Learning in Hierarchical Classification for Pathological Whole Slide Image—0
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer—0
Efficient Privacy Preserving Edge Computing Framework for Image Classification—0
Binarized Convolutional Neural Networks for Efficient Inference on GPUs—0
Efficient, probabilistic analysis of combinatorial neural codes—0
Efficient Progressive Neural Architecture Search—0
Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints—0
An Automatic Image Content Retrieval Method for better Mobile Device Display User Experiences—0
Diagnosis of Skin Cancer Using VGG16 and VGG19 Based Transfer Learning Models—0
Diagnosis of Autism in Children using Facial Analysis and Deep Learning—0
Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain—0
Diagnosis of Alzheimer's Disease via Multi-modality 3D Convolutional Neural Network—0
Diagnosis and Analysis of Celiac Disease and Environmental Enteropathy on Biopsy Images using Deep Learning Approaches—0
BI-MAML: Balanced Incremental Approach for Meta Learning—0
Efficient Super Resolution Using Binarized Neural Network—0
Efficient Transformations in Deep Learning Convolutional Neural Networks—0
A Closer Look at Benchmarking Self-Supervised Pre-training with Image Classification—0
Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations—0
Diagnosing Convolutional Neural Networks using their Spectral Response—0
Federated Multi-Target Domain Adaptation—0
An Automated Deep Learning Approach for Bacterial Image Classification—0
Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data—0
Diabetic retinopathy image classification method based on GreenBen data augmentation—0
An Automated CNN Recommendation System for Image Classification Tasks—0
Chest X-rays Classification: A Multi-Label and Fine-Grained Problem—0
A Dataset for Troll Classification of TamilMemes—0
ELA: Efficient Local Attention for Deep Convolutional Neural Networks—0
Federated Variational Inference: Towards Improved Personalization and Generalization—0
Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision—0
big.LITTLE Vision Transformer for Efficient Visual Recognition—0
AED: An black-box NLP classifier model attacker—0
Federated Learning with Privacy-Preserving Ensemble Attention Distillation—0
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning—0
BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval—0
Elucidating and Overcoming the Challenges of Label Noise in Supervised Contrastive Learning—0
A Dataset and Benchmarks for Multimedia Social Analysis—0
DFDL: Discriminative Feature-oriented Dictionary Learning for Histopathological Image 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
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