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 2251–2275 of 10420 papers

TitleStatusHype
Convolution-enhanced Evolving Attention NetworksCode1
A graph-transformer for whole slide image classificationCode1
A synergistic CNN-transformer network with pooling attention fusion for hyperspectral image classificationCode1
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised LearningCode1
Patch-wise Attack for Fooling Deep Neural NetworkCode1
CoProNN: Concept-based Prototypical Nearest Neighbors for Explaining Vision ModelsCode1
GAN-based Priors for Quantifying UncertaintyCode1
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical ImagingCode1
Training independent subnetworks for robust predictionVerified1
Computation and Communication Efficient Lightweighting Vertical Federated Learning for Smart Building IoT—0
Computational Integration of Human Vision and Natural Language through Bitext Alignment—0
Compressive spectral image classification using 3D coded convolutional neural network—0
AFINets: Attentive Feature Integration Networks for Image Classification—0
Compressively Sensed Image Recognition—0
Compressive Image Classification using Deterministic Sensing Matrices—0
AFINet: Attentive Feature Integration Networks for Image Classification—0
Compressing the Backward Pass of Large-Scale Neural Architectures by Structured Activation Pruning—0
A CT Image Classification Network Framework for Lung Tumors Based on Pre-trained MobileNetV2 Model and Transfer learning, And Its Application and Market Analysis in the Medical field—0
Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning—0
A Scalable Technique for Weak-Supervised Learning with Domain Constraints—0
Compressing Deep Convolutional Networks using Vector Quantization—0
Affinity Graph Supervision for Visual Recognition—0
ActCooLR – High-Level Learning Rate Schedules using Activation Pattern Temperature—0
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer—0
Compressed Meta-Optical Encoder for Image Classification—0
Show:102550
← PrevPage 91 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
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