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 6701–6750 of 10420 papers

TitleStatusHype
EBHI:A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation—0
Multi-task Dictionary Learning based Convolutional Neural Network for Computer aided Diagnosis with Longitudinal Images—0
Multi-task Image Classification via Collaborative, Hierarchical Spike-and-Slab Priors—0
Multi-task Learning on MNIST Image Datasets—0
Generating Image Captions in Arabic using Root-Word Based Recurrent Neural Networks and Deep Neural Networks—0
Multi-Task Multicriteria Hyperparameter Optimization—0
A Survey on Deep Learning in Medical Image Analysis—0
A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms—0
Multitask vocal burst modeling with ResNets and pre-trained paralinguistic Conformers—0
Multi-Teacher Multi-Objective Meta-Learning for Zero-Shot Hyperspectral Band Selection—0
Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization—0
Generating Efficient DNN-Ensembles with Evolutionary Computation—0
Multi-view Feature Augmentation with Adaptive Class Activation Mapping—0
Multi-View Matrix Completion for Multi-Label Image Classification—0
Controllable Invariance through Adversarial Feature Learning—0
Generating Counterfactual Explanations with Natural Language—0
Generating and Modifying Natural Language Explanations—0
Multi-view Vector-valued Manifold Regularization for Multi-label Image Classification—0
Active Learning for Object Detection with Non-Redundant Informative Sampling—0
Multi-way Encoding for Robustness—0
Object Detection Networks on Convolutional Feature Maps—0
MuMIC -- Multimodal Embedding for Multi-label Image Classification with Tempered Sigmoid—0
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks—0
muNet: Evolving Pretrained Deep Neural Networks into Scalable Auto-tuning Multitask Systems—0
MUPAX: Multidimensional Problem Agnostic eXplainable AI—0
MUSE: Feature Self-Distillation with Mutual Information and Self-Information—0
Edge Detection and Deep Learning Based SETI Signal Classification Method—0
CAT: Learning to Collaborate Channel and Spatial Attention from Multi-Information Fusion—0
Generating Adversarial Perturbation with Root Mean Square Gradient—0
Mutual Attention-based Hybrid Dimensional Network for Multimodal Imaging Computer-aided Diagnosis—0
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving—0
Mutual-energy inner product optimization method for constructing feature coordinates and image classification in Machine Learning—0
Contributor-Aware Defenses Against Adversarial Backdoor Attacks—0
A Survey on Contrastive Self-supervised Learning—0
Active Learning for Noisy Data Streams Using Weak and Strong Labelers—0
Contrast R-CNN for Continual Learning in Object Detection—0
A Systematic Review of Generalization Research in Medical Image Classification—0
MVFormer: Diversifying Feature Normalization and Token Mixing for Efficient Vision Transformers—0
EEG-based Image Feature Extraction for Visual Classification using Deep Learning—0
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification—0
MVQ:Towards Efficient DNN Compression and Acceleration with Masked Vector Quantization—0
Contrastive Representation Learning for Whole Brain Cytoarchitectonic Mapping in Histological Human Brain Sections—0
MyFood: A Food Segmentation and Classification System to Aid Nutritional Monitoring—0
Naive Gabor Networks for Hyperspectral Image Classification—0
Nanorobot queue: Cooperative treatment of cancer based on team member communication and image processing—0
Narrowing the Focus: Learned Optimizers for Pretrained Models—0
Interpretable Saliency Maps And Self-Supervised Learning For Generalized Zero Shot Medical Image Classification—0
NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy—0
Generalized Resubstitution for Classification Error Estimation—0
Aggregated Pyramid Vision Transformer: Split-transform-merge Strategy for Image Recognition without Convolutions—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