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 5676–5700 of 10420 papers

TitleStatusHype
Deep Image Retrieval is not Robust to Label Noise—0
Learning Muti-expert Distribution Calibration for Long-tailed Video Classification—0
CNNs Avoid Curse of Dimensionality by Learning on Patches—0
Recent Advances in Embedding Methods for Multi-Object Tracking: A Survey—0
muNet: Evolving Pretrained Deep Neural Networks into Scalable Auto-tuning Multitask Systems—0
Facing the Void: Overcoming Missing Data in Multi-View ImageryCode0
A Study on Transformer Configuration and Training Objective—0
Set-based Meta-Interpolation for Few-Task Meta-Learning—0
PSO-Convolutional Neural Networks with Heterogeneous Learning RateCode0
Deep transfer learning for image classification: a survey—0
Kernel Normalized Convolutional NetworksCode0
Robust Sensible Adversarial Learning of Deep Neural Networks for Image ClassificationCode0
Semi-Supervised Learning for Image Classification using Compact Networks in the BioMedical Context—0
Bayesian Convolutional Neural Networks for Limited Data Hyperspectral Remote Sensing Image Classification—0
Incremental Learning with Differentiable Architecture and Forgetting Search—0
A Hardware-Aware Framework for Accelerating Neural Architecture Search Across Modalities—0
TRT-ViT: TensorRT-oriented Vision Transformer—0
Large Neural Networks Learning from Scratch with Very Few Data and without Explicit Regularization—0
Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image Classification of Gastric Cancer—0
Monotonicity Regularization: Improved Penalties and Novel Applications to Disentangled Representation Learning and Robust Classification—0
Uncertainty-based Network for Few-shot Image Classification—0
All-Photonic Artificial Neural Network Processor Via Non-linear Optics—0
Binarizing by Classification: Is soft function really necessary?—0
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification—0
Corrosion Detection for Industrial Objects: From Multi-Sensor System to 5D Feature Space—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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified