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

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Showing 1401–1450 of 10419 papers

TitleStatusHype
Gradient Centralization: A New Optimization Technique for Deep Neural NetworksCode1
Gradient-Guided Annealing for Domain GeneralizationCode1
Category-Prompt Refined Feature Learning for Long-Tailed Multi-Label Image ClassificationCode1
Benchmarking Adversarial Robustness on Image ClassificationCode1
Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness MetricsCode1
Analysis and evaluation of Deep Learning based Super-Resolution algorithms to improve performance in Low-Resolution Face RecognitionCode1
A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled SamplesCode1
GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image ClassificationCode1
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable FeaturesCode1
GRNN: Generative Regression Neural Network -- A Data Leakage Attack for Federated LearningCode1
CvT: Introducing Convolutions to Vision TransformersCode1
Group Fisher Pruning for Practical Network CompressionCode1
GTP-ViT: Efficient Vision Transformers via Graph-based Token PropagationCode1
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised LearningCode1
Benchmarking Test-Time Adaptation against Distribution Shifts in Image ClassificationCode1
Hard Sample Aware Noise Robust Learning for Histopathology Image ClassificationCode1
Harmonic Convolutional Networks based on Discrete Cosine TransformCode1
Harmonic Networks with Limited Training SamplesCode1
AutoAssist: A Framework to Accelerate Training of Deep Neural NetworksCode1
Curriculum Temperature for Knowledge DistillationCode1
Heteroskedastic and Imbalanced Deep Learning with Adaptive RegularizationCode1
HetSeq: Distributed GPU Training on Heterogeneous InfrastructureCode1
Adaptive Split-Fusion TransformerCode1
CycleMLP: A MLP-like Architecture for Dense PredictionCode1
Hire-MLP: Vision MLP via Hierarchical RearrangementCode1
Histopathological Image Classification with Cell Morphology Aware Deep Neural NetworksCode1
Causal Transportability for Visual RecognitionCode1
DAM: Dynamic Adapter Merging for Continual Video QA LearningCode1
Better plain ViT baselines for ImageNet-1kCode1
How Important is Weight Symmetry in Backpropagation?Code1
CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image ClassificationCode1
Shallow-Deep Networks: Understanding and Mitigating Network OverthinkingCode1
How Well Do Self-Supervised Models Transfer?Code1
BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object DetectionCode1
DiG-IN: Diffusion Guidance for Investigating Networks -- Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual ExplanationsCode1
HR-NAS: Searching Efficient High-Resolution Neural Architectures with Lightweight TransformersCode1
HS-ResNet: Hierarchical-Split Block on Convolutional Neural NetworkCode1
Beyond Categorical Label Representations for Image ClassificationCode1
Deep Factorized Metric LearningCode1
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label NoiseCode1
CellGAN: Conditional Cervical Cell Synthesis for Augmenting Cytopathological Image ClassificationCode1
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy LabelsCode1
Hyperspectral Band Selection for Multispectral Image Classification with Convolutional NetworksCode1
Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future ProspectsCode1
Beyond Gradient Averaging in Parallel Optimization: Improved Robustness through Gradient Agreement FilteringCode1
Hyperspectral Image Classification with Attention Aided CNNsCode1
Identity Mappings in Deep Residual NetworksCode1
Detecting AutoAttack Perturbations in the Frequency DomainCode1
Analyzing Vision Transformers for Image Classification in Class Embedding SpaceCode1
Cross-modulated Few-shot Image Generation for Colorectal Tissue ClassificationCode1
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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