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 9651–9700 of 10420 papers

TitleStatusHype
HyT-NAS: Hybrid Transformers Neural Architecture Search for Edge Devices—0
I2CANSAY:Inter-Class Analogical Augmentation and Intra-Class Significance Analysis for Non-Exemplar Online Task-Free Continual Learning—0
I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification—0
I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification—0
IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image Classification—0
I can't see it but I can Fine-tune it: On Encrypted Fine-tuning of Transformers using Fully Homomorphic Encryption—0
iCaps: An Interpretable Classifier via Disentangled Capsule Networks—0
ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning—0
Quantum-Classical Hybrid Machine Learning for Image Classification (ICCAD Special Session Paper)—0
I-CNet: Leveraging Involution and Convolution for Image Classification—0
iConFormer: Dynamic Parameter-Efficient Tuning with Input-Conditioned Adaptation—0
Identification and Recognition of Rice Diseases and Pests Using Convolutional Neural Networks—0
Identification of Cervical Pathology using Adversarial Neural Networks—0
Identification of Seed Cells in Multispectral Images for GrowCut Segmentation—0
Identify Apple Leaf Diseases Using Deep Learning Algorithm—0
Identifying Land Patterns from Satellite Imagery in Amazon Rainforest using Deep Learning—0
Identifying Misinformation from Website Screenshots—0
Identifying Mislabeled Images in Supervised Learning Utilizing Autoencoder—0
Identifying regions of interest in whole slide images of renal cell carcinoma—0
Identifying Spurious Correlations and Correcting them with an Explanation-based Learning—0
If a Human Can See It, So Should Your System: Reliability Requirements for Machine Vision Components—0
iFlood: A Stable and Effective Regularizer—0
IFQ-Net: Integrated Fixed-point Quantization Networks for Embedded Vision—0
IGroupSS-Mamba: Interval Group Spatial-Spectral Mamba for Hyperspectral Image Classification—0
I Know What I Don't Know: Improving Model Cascades Through Confidence Tuning—0
¶ILCRO: Making Importance Landscapes Flat Again—0
Illuminated Decision Trees with Lucid—0
IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach—0
IMACS: Image Model Attribution Comparison Summaries—0
Image Aesthetics Assessment Using Composite Features from off-the-Shelf Deep Models—0
Image Analysis Based on Nonnegative/Binary Matrix Factorization—0
Image Analytics for Legal Document Review: A Transfer Learning Approach—0
CLIPPO: Image-and-Language Understanding from Pixels Only—0
Image and Model Transformation with Secret Key for Vision Transformer—0
Image as a Foreign Language: BEiT Pretraining for Vision and Vision-Language Tasks—0
Image Augmentation for Object Image Classification Based On Combination of PreTrained CNN and SVM—0
Image-Based Feature Representation for Insider Threat Classification—0
Image-Based Vehicle Classification by Synergizing Features from Supervised and Self-Supervised Learning Paradigms—0
Image BERT Pre-training with Online Tokenizer—0
Image Captioners Sometimes Tell More Than Images They See—0
Image Classification and Retrieval from User-Supplied Tags—0
Image Classification at Supercomputer Scale—0
Image Classification Based on Quantum KNN Algorithm—0
Image classification based on support vector machine and the fusion of complementary features—0
Image Classification base on PCA of Multi-view Deep Representation—0
Image Classification by Feature Dimension Reduction and Graph based Ranking—0
Image classification by visual bag-of-words refinement and reduction—0
Image Classification for Arabic: Assessing the Accuracy of Direct English to Arabic Translations—0
Image Classification for Snow Detection to Improve Pedestrian Safety—0
Image Classification in the Dark using Quanta Image Sensors—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