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 1851–1900 of 10419 papers

TitleStatusHype
CLIP meets DINO for Tuning Zero-Shot Classifier using Unlabeled Image CollectionsCode1
Fine-Grained Predicates Learning for Scene Graph GenerationCode1
Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained EnvironmentsCode1
Hamiltonian Deep Neural Networks Guaranteeing Non-vanishing Gradients by DesignCode1
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical ImagesCode1
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural NetworkCode1
Firefly Neural Architecture Descent: a General Approach for Growing Neural NetworksCode1
A Fuzzy Rank-based Ensemble of CNN Models for Classification of Cervical CytologyCode1
Grounded Situation Recognition with TransformersCode1
CLIP the Gap: A Single Domain Generalization Approach for Object DetectionCode1
Semi-Supervised Active Learning with Temporal Output DiscrepancyCode1
Semi-Supervised Classification and Segmentation on High Resolution Aerial ImagesCode1
GRNN: Generative Regression Neural Network -- A Data Leakage Attack for Federated LearningCode1
A fuzzy distance-based ensemble of deep models for cervical cancer detectionCode1
FixCaps: An Improved Capsules Network for Diagnosis of Skin CancerCode1
Fixed-point Quantization of Convolutional Neural Networks for Quantized Inference on Embedded PlatformsCode1
Grounding Descriptions in Images informs Zero-Shot Visual RecognitionCode1
CLR: Channel-wise Lightweight Reprogramming for Continual LearningCode1
Complementary-Label Learning for Arbitrary Losses and ModelsCode1
GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image ClassificationCode1
FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image ClassificationCode1
Semi-Supervised Learning with Context-Conditional Generative Adversarial NetworksCode1
fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functionsCode1
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling ModelCode1
Compositional Explanations of NeuronsCode1
ClusterFormer: Clustering As A Universal Visual LearnerCode1
A Fully Tensorized Recurrent Neural NetworkCode1
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel SizesCode1
Container: Context Aggregation NetworkCode1
FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene UnderstandingCode1
FlowNAS: Neural Architecture Search for Optical Flow EstimationCode1
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep LearningCode1
Adversarially-Trained Deep Nets Transfer Better: Illustration on Image ClassificationCode1
Grid Saliency for Context Explanations of Semantic SegmentationCode1
FNA++: Fast Network Adaptation via Parameter Remapping and Architecture SearchCode1
Focal and Global Knowledge Distillation for DetectorsCode1
Group Fisher Pruning for Practical Network CompressionCode1
Harmonic Convolutional Networks based on Discrete Cosine TransformCode1
FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image RecognitionCode1
How Important is Weight Symmetry in Backpropagation?Code1
Forward Learning of Graph Neural NetworksCode1
CNN Filter DB: An Empirical Investigation of Trained Convolutional FiltersCode1
Fortuitous Forgetting in Connectionist NetworksCode1
SHISRCNet: Super-resolution And Classification Network For Low-resolution Breast Cancer Histopathology ImageCode1
Fourier Image TransformerCode1
Foundation Model Assisted Weakly Supervised Semantic SegmentationCode1
Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image ClassificationCode1
GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic ForgettingCode1
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image ClassificationCode1
GradInit: Learning to Initialize Neural Networks for Stable and Efficient TrainingCode1
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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