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 5276–5300 of 10420 papers

TitleStatusHype
Inplace knowledge distillation with teacher assistant for improved training of flexible deep neural networks—0
Deep Learning and Medical Imaging for COVID-19 Diagnosis: A Comprehensive Survey—0
Accurate and Resource-Efficient Lipreading with Efficientnetv2 and Transformers—0
InsCon:Instance Consistency Feature Representation via Self-Supervised Learning—0
INsight: A Neuromorphic Computing System for Evaluation of Large Neural Networks—0
Inspector Gadget: A Data Programming-based Labeling System for Industrial Images—0
Inspect Transfer Learning Architecture with Dilated Convolution—0
Hierarchical Vision Transformer with Prototypes for Interpretable Medical Image Classification—0
Hierarchical Transfer Convolutional Neural Networks for Image Classification—0
Instance-based Deep Transfer Learning—0
Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey—0
Crossmodal Knowledge Distillation with WordNet-Relaxed Text Embeddings for Robust Image Classification—0
Hierarchical Sparse Attention Framework for Computationally Efficient Classification of Biological Cells—0
Hierarchical Side-Tuning for Vision Transformers—0
Attentive CutMix: An Enhanced Data Augmentation Approach for Deep Learning Based Image Classification—0
AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers—0
Deep Learning-based automated classification of Chinese Speech Sound Disorders—0
Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation—0
Instant Adversarial Purification with Adversarial Consistency Distillation—0
Learned Gradient Compression for Distributed Deep Learning—0
Institutionally Distributed Deep Learning Networks—0
Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT—0
Learning Augmentation Network via Influence Functions—0
Integrated perception with recurrent multi-task neural networks—0
Hierarchical Semantic Tree Concept Whitening for Interpretable Image Classification—0
Show:102550
← PrevPage 212 of 417Next →
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