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 2976–3000 of 10420 papers

TitleStatusHype
Broad Adversarial Training with Data Augmentation in the Output Space—0
A New Clustering-Based Technique for the Acceleration of Deep Convolutional Networks—0
A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation—0
ADFQ-ViT: Activation-Distribution-Friendly Post-Training Quantization for Vision Transformers—0
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models—0
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks—0
An Evoked Potential-Guided Deep Learning Brain Representation For Visual Classification—0
A Committee of Convolutional Neural Networks for Image Classication in the Concurrent Presence of Feature and Label Noise—0
Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation—0
Bridge the Modality and Capability Gaps in Vision-Language Model Selection—0
Equivariance with Learned Canonicalization Functions—0
Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network—0
An evaluation of pre-trained models for feature extraction in image classification—0
Breast Tumor Classification and Segmentation using Convolutional Neural Networks—0
A Neurosymbolic Framework for Bias Correction in Convolutional Neural Networks—0
A deep primal-dual proximal network for image restoration—0
Entropy-Driven Mixed-Precision Quantization for Deep Network Design—0
A Neural ODE Interpretation of Transformer Layers—0
Breast Cancer Image Classification Method Based on Deep Transfer Learning—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
Breast Cancer Diagnosis Using Machine Learning Techniques—0
A Combinatorial Approach to Neural Emergent Communication—0
Entropy Induced Pruning Framework for Convolutional Neural Networks—0
Breast Cancer Detection and Diagnosis: A comparative study of state-of-the-arts deep learning architectures—0
Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack—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