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
DEUP: Direct Epistemic Uncertainty PredictionCode1
Designing Network Design SpacesCode1
DetCo: Unsupervised Contrastive Learning for Object DetectionCode1
Shape-Texture Debiased Neural Network TrainingCode1
CoAtNet: Marrying Convolution and Attention for All Data SizesCode1
Depth Uncertainty in Neural NetworksCode1
CoCa: Contrastive Captioners are Image-Text Foundation ModelsCode1
Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label CorrectionCode1
A Fully Tensorized Recurrent Neural NetworkCode1
Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small DatasetsCode1
CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAsCode1
A General Framework For Detecting Anomalous Inputs to DNN ClassifiersCode1
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture DesignCode1
AQD: Towards Accurate Fully-Quantized Object DetectionCode1
Sill-Net: Feature Augmentation with Separated Illumination RepresentationCode1
SimLoss: Class Similarities in Cross EntropyCode1
SimMatchV2: Semi-Supervised Learning with Graph ConsistencyCode1
Differentiable Model Scaling using Differentiable TopkCode1
DEAL: Deep Evidential Active Learning for Image ClassificationCode1
Collaborative Transformers for Grounded Situation RecognitionCode1
Adversarial Robustness on In- and Out-Distribution Improves ExplainabilityCode1
Distilled Split Deep Neural Networks for Edge-Assisted Real-Time SystemsCode1
Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural NetworksCode1
Dendritic Learning-incorporated Vision Transformer for Image RecognitionCode1
Sliced Recursive TransformerCode1
A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial ImagesCode1
DCN-T: Dual Context Network with Transformer for Hyperspectral Image ClassificationCode1
SMPConv: Self-moving Point Representations for Continuous ConvolutionCode1
Perceptual Video Coding for Machines via Satisfied Machine Ratio ModelingCode1
Delving into Out-of-Distribution Detection with Medical Vision-Language ModelsCode1
Soft Augmentation for Image ClassificationCode1
A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image ClassificationCode1
Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision TasksCode1
Combating Label Noise in Deep Learning Using AbstentionCode1
Arch-Net: Model Distillation for Architecture Agnostic Model DeploymentCode1
Combating noisy labels by agreement: A joint training method with co-regularizationCode1
Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive LearningCode1
Sparse MLP for Image Recognition: Is Self-Attention Really Necessary?Code1
Sparse Networks from Scratch: Faster Training without Losing PerformanceCode1
SparseSwin: Swin Transformer with Sparse Transformer BlockCode1
Sparse Weight Activation TrainingCode1
Spatially Consistent Representation LearningCode1
DenoiseRep: Denoising Model for Representation LearningCode1
SPECIAL: Zero-shot Hyperspectral Image Classification With CLIPCode1
spectrai: A deep learning framework for spectral dataCode1
SpectralNET: Exploring Spatial-Spectral WaveletCNN for Hyperspectral Image ClassificationCode1
Spectral-Spatial Global Graph Reasoning for Hyperspectral Image ClassificationCode1
Combining GANs and AutoEncoders for Efficient Anomaly DetectionCode1
DeiT III: Revenge of the ViTCode1
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