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 8651–8700 of 10420 papers

TitleStatusHype
Distribution-Aware Adaptive Multi-Bit Quantization—0
Distribution Learning Based on Evolutionary Algorithm Assisted Deep Neural Networks for Imbalanced Image Classification—0
Distribution-sensitive Information Retention for Accurate Binary Neural Network—0
Dithered backprop: A sparse and quantized backpropagation algorithm for more efficient deep neural network training—0
Diurnal or Nocturnal? Federated Learning of Multi-branch Networks from Periodically Shifting Distributions—0
Divergent Search for Few-Shot Image Classification—0
Diverse Feature Learning by Self-distillation and Reset—0
Diversified Ensembling: An Experiment in Crowdsourced Machine Learning—0
Diversifying Sample Generation for Accurate Data-Free Quantization—0
Diversity-Driven Learning: Tackling Spurious Correlations and Data Heterogeneity in Federated Models—0
Diversity Matters When Learning From Ensembles—0
Diving into Optimization of Topology in Neural Networks—0
DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs (Extended)—0
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning—0
DM-CT: Consistency Training with Data and Model Perturbation—0
DMSANet: Dual Multi Scale Attention Network—0
Do Better ImageNet Models Transfer Better?—0
Do Convnets Learn Correspondence?—0
Do Convolutional Neural Networks Learn Class Hierarchy?—0
Document AI: Benchmarks, Models and Applications—0
Document image classification, with a specific view on applications of patent images—0
DocXplain: A Novel Model-Agnostic Explainability Method for Document Image Classification—0
Increasing Depth Leads to U-Shaped Test Risk in Over-parameterized Convolutional Networks—0
Does Data Augmentation Benefit from Split BatchNorms—0
Does deep learning model calibration improve performance in class-imbalanced medical image classification?—0
Just Noticeable Difference for Deep Machine Vision—0
Does Distributionally Robust Supervised Learning Give Robust Classifiers?—0
Does Haze Removal Help CNN-based Image Classification?—0
Does Normalization Methods Play a Role for Hyperspectral Image Classification?—0
Does Robustness on ImageNet Transfer to Downstream Tasks?—0
Does Saliency-Based Training bring Robustness for Deep Neural Networks in Image Classification?—0
Does Visual Pretraining Help End-to-End Reasoning?—0
Do humans and machines have the same eyes? Human-machine perceptual differences on image classification—0
Dolphin: Closed-loop Open-ended Auto-research through Thinking, Practice, and Feedback—0
Domain2Vec: Deep Domain Generalization—0
Domain Adaptation and Image Classification via Deep Conditional Adaptation Network—0
Domain Adaptive Monocular Depth Estimation With Semantic Information—0
Domain Adaptive Skin Lesion Classification via Conformal Ensemble of Vision Transformers—0
Domain Adaptive Transfer Learning on Visual Attention Aware Data Augmentation for Fine-grained Visual Categorization—0
Domain Agnostic Few-Shot Learning For Document Intelligence—0
Domain Aligned CLIP for Few-shot Classification—0
Domain-decomposed image classification algorithms using linear discriminant analysis and convolutional neural networks—0
Domain Expansion and Boundary Growth for Open-Set Single-Source Domain Generalization—0
Domain-Invariant Disentangled Network for Generalizable Object Detection—0
Domain transfer through deep activation matching—0
Domain Wall Magnetic Tunnel Junction Reliable Integrate and Fire Neuron—0
Do More Dropouts in Pool5 Feature Maps for Better Object Detection—0
Don’t Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights—0
Don't Watch Me: A Spatio-Temporal Trojan Attack on Deep-Reinforcement-Learning-Augment Autonomous Driving—0
Dopamine Transporter SPECT Image Classification for Neurodegenerative Parkinsonism via Diffusion Maps and Machine Learning Classifiers—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