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

Showing 19011950 of 10419 papers

TitleStatusHype
Co2L: Contrastive Continual LearningCode1
Sparse Spiking Gradient DescentCode1
Shallow-Deep Networks: Understanding and Mitigating Network OverthinkingCode1
Causal Inference via Style Transfer for Out-of-distribution GeneralisationCode1
HRN: A Holistic Approach to One Class LearningCode1
CoAtNet: Marrying Convolution and Attention for All Data SizesCode1
Tent: Fully Test-time Adaptation by Entropy MinimizationCode1
CoCa: Contrastive Captioners are Image-Text Foundation ModelsCode1
Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label CorrectionCode1
HyperKAN: Kolmogorov-Arnold Networks make Hyperspectral Image Classificators SmarterCode1
CODE-CL: Conceptor-Based Gradient Projection for Deep Continual LearningCode1
CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAsCode1
Function-Consistent Feature DistillationCode1
ImageNet Large Scale Visual Recognition ChallengeCode1
AQD: Towards Accurate Fully-Quantized Object DetectionCode1
Fusion of Dual Spatial Information for Hyperspectral Image ClassificationCode1
SpectralNET: Exploring Spatial-Spectral WaveletCNN for Hyperspectral Image ClassificationCode1
Spectral-Spatial Global Graph Reasoning for Hyperspectral Image ClassificationCode1
A Rainbow in Deep Network Black BoxesCode1
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical ImagingCode1
Collaborative Transformers for Grounded Situation RecognitionCode1
Adversarial Robustness on In- and Out-Distribution Improves ExplainabilityCode1
Hit-Detector: Hierarchical Trinity Architecture Search for Object DetectionCode1
Histopathological Image Classification with Cell Morphology Aware Deep Neural NetworksCode1
Spiking Inception Module for Multi-layer Unsupervised Spiking Neural NetworksCode1
SpinalNet: Deep Neural Network with Gradual InputCode1
A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial ImagesCode1
Gaussian RAM: Lightweight Image Classification via Stochastic Retina-Inspired Glimpse and Reinforcement LearningCode1
SP-ViT: Learning 2D Spatial Priors for Vision TransformersCode1
Squeeze-and-Excitation NetworksCode1
HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image ClassificationCode1
Concept Learners for Few-Shot LearningCode1
GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray ClassificationCode1
Stable Anderson Acceleration for Deep LearningCode1
Combating Label Noise in Deep Learning Using AbstentionCode1
Arch-Net: Model Distillation for Architecture Agnostic Model DeploymentCode1
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image ClassificationCode1
Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic InteractionCode1
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy LabelsCode1
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy LabelsCode1
General Multi-label Image Classification with TransformersCode1
Hire-MLP: Vision MLP via Hierarchical RearrangementCode1
GIST: Generating Image-Specific Text for Fine-grained Object ClassificationCode1
Test-time Adaptation with Slot-Centric ModelsCode1
Stream-51: Streaming Classification and Novelty Detection from VideosCode1
One Explanation is Not Enough: Structured Attention Graphs for Image ClassificationCode1
Generative Adversarial Minority Oversampling for Spectral-Spatial Hyperspectral Image ClassificationCode1
Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic ReviewCode1
Combining GANs and AutoEncoders for Efficient Anomaly DetectionCode1
Hierarchical Image Classification using Entailment Cone EmbeddingsCode1
Show:102550
← PrevPage 39 of 209Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified