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 4201–4250 of 10420 papers

TitleStatusHype
DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding—0
Benchmarking a Benchmark: How Reliable is MS-COCO?—0
Deep Transfer Learning: Model Framework and Error Analysis—0
An Alternative Practice of Tropical Convolution to Traditional Convolutional Neural Networks—0
Boosting Adversarial Transferability for Hyperspectral Image Classification Using 3D Structure-invariant Transformation and Intermediate Feature Distance—0
Deep Transfer Learning Methods for Colon Cancer Classification in Confocal Laser Microscopy Images—0
Benchmark data to study the influence of pre-training on explanation performance in MR image classification—0
Adaptive Risk Minimization: A Meta-Learning Approach for Tackling Group Shift—0
Deep Transfer Learning for Person Re-identification—0
Benchmark Analysis of Various Pre-trained Deep Learning Models on ASSIRA Cats and Dogs Dataset—0
How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?—0
How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor—0
How to augment your ViTs? Consistency loss and StyleAug, a random style transfer augmentation—0
Deep transfer learning for image classification: a survey—0
Deep Transfer Learning for Few-Shot SAR Image Classification—0
BEL: A Bag Embedding Loss for Transformer enhances Multiple Instance Whole Slide Image Classification—0
Deep transfer learning for detecting Covid-19, Pneumonia and Tuberculosis using CXR images -- A Review—0
deepTerra -- AI Land Classification Made Easy—0
Achieving Pareto Optimality using Efficient Parameter Reduction for DNNs in Resource-Constrained Edge Environment—0
How good is my GAN?—0
Deep tensor networks with matrix product operators—0
DeepTensor: Low-Rank Tensor Decomposition with Deep Network Priors—0
Deep Supervision with Intermediate Concepts—0
Behavior of Mini-Batch Optimization for Training Deep Neural Networks on Large Datasets—0
How do Hyenas deal with Human Speech? Speech Recognition and Translation with ConfHyena—0
An Algorithm for Routing Vectors in Sequences—0
How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance—0
Deep Spatial Pyramid: The Devil is Once Again in the Details—0
DeepSetNet: Predicting Sets with Deep Neural Networks—0
Be Careful What You Backpropagate: A Case For Linear Output Activations & Gradient Boosting—0
Deep Sequential Feature Learning in Clinical Image Classification of Infectious Keratitis—0
An Algorithm for Routing Capsules in All Domains—0
Adaptive Regularization via Residual Smoothing in Deep Learning Optimization—0
How Does Diverse Interpretability of Textual Prompts Impact Medical Vision-Language Zero-Shot Tasks?—0
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets?—0
How many classifiers do we need?—0
Deep Self-taught Learning for Remote Sensing Image Classification—0
Deep Self-Learning From Noisy Labels—0
Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning—0
Deep Selector-JPEG: Adaptive JPEG Image Compression for Computer Vision in Image classification with Human Vision Criteria—0
Bayesian Test-Time Adaptation for Vision-Language Models—0
HOG feature extraction from encrypted images for privacy-preserving machine learning—0
Deep Scene Image Classification With the MFAFVNet—0
HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach—0
Adaptive Region Pooling for Fine-Grained Representation Learning—0
Historical Test-time Prompt Tuning for Vision Foundation Models—0
How adversarial attacks can disrupt seemingly stable accurate classifiers—0
Histograms of Pattern Sets for Image Classification and Object Recognition—0
An Adaptive Sampling and Edge Detection Approach for Encoding Static Images for Spiking Neural Networks—0
Histopathological Image Classification and Vulnerability Analysis using Federated Learning—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